tests: try to get logs

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
feat(vulkan): add vulkan support to the llama.cpp backend (#2648 )
2026-02-03 11:13:31 -05:00 · 2024-06-25 09:24:55 +02:00 · 2024-06-24 20:04:58 +02:00 · 2024-06-24 19:21:22 +02:00 · 2024-06-24 18:21:20 +02:00 · 2024-06-24 18:08:09 +02:00
431 changed files with 31950 additions and 3835 deletions
--- a/.dockerignore
+++ b/.dockerignore
@@ -6,6 +6,11 @@ examples/chatbot-ui/models
 examples/rwkv/models
 examples/**/models
 Dockerfile*
+__pycache__

 # SonarQube
-.scannerwork
+.scannerwork
+
+# backend virtual environments
+**/venv
+backend/python/**/source
--- a/.env
+++ b/.env
@@ -71,6 +71,11 @@
 ### Define the number of parallel LLAMA.cpp workers (Defaults to 1)
 # LLAMACPP_PARALLEL=1

+### Define a list of GRPC Servers for llama-cpp workers to distribute the load
+# https://github.com/ggerganov/llama.cpp/pull/6829
+# https://github.com/ggerganov/llama.cpp/blob/master/examples/rpc/README.md
+# LLAMACPP_GRPC_SERVERS=""
+
 ### Enable to run parallel requests
 # LOCALAI_PARALLEL_REQUESTS=true

--- a/.github/checksum_checker.sh
+++ b/.github/checksum_checker.sh
@@ -16,7 +16,7 @@ function check_and_update_checksum() {
    # Download the file and calculate new checksum using Python
    new_checksum=$(python3 -c "
 import hashlib
-from huggingface_hub import hf_hub_download
+from huggingface_hub import hf_hub_download, get_paths_info
 import requests
 import sys
 import os
@@ -46,13 +46,24 @@ def calculate_sha256(file_path):

 download_type, repo_id_or_url = parse_uri(uri)

+new_checksum =  None
+
 # Decide download method based on URI type
 if download_type == 'huggingface':
-    try:
-        file_path = hf_hub_download(repo_id=repo_id_or_url, filename=file_name)
-    except Exception as e:
-        print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
-        sys.exit(2)
+    # Use HF API to pull sha
+    for file in get_paths_info(repo_id_or_url, [file_name], repo_type='model'):
+        try:
+            new_checksum = file.lfs.sha256
+            break
+        except Exception as e:
+            print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
+            sys.exit(2)
+    if new_checksum is None:
+        try:
+            file_path = hf_hub_download(repo_id=repo_id_or_url, filename=file_name)
+        except Exception as e:
+            print(f'Error from Hugging Face Hub: {str(e)}', file=sys.stderr)
+            sys.exit(2)
 else:
    response = requests.get(repo_id_or_url)
    if response.status_code == 200:
@@ -66,9 +77,13 @@ else:
        print(f'Error downloading file: {response.status_code}', file=sys.stderr)
        sys.exit(1)

-print(calculate_sha256(file_path))
-# Clean up the downloaded file
-os.remove(file_path)
+if new_checksum is None:
+    new_checksum = calculate_sha256(file_path)
+    print(new_checksum)
+    os.remove(file_path)
+else:
+    print(new_checksum)
+
 ")

    if [[ "$new_checksum" == "" ]]; then
--- a/.github/ci/modelslist.go
+++ b/.github/ci/modelslist.go
@@ -0,0 +1,297 @@
+package main
+
+import (
+	"fmt"
+	"html/template"
+	"io/ioutil"
+	"os"
+
+	"gopkg.in/yaml.v3"
+)
+
+var modelPageTemplate string = `
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>LocalAI models</title>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/flowbite/2.3.0/flowbite.min.css" rel="stylesheet" />
+    <script src="https://cdn.jsdelivr.net/npm/vanilla-lazyload@19.1.3/dist/lazyload.min.js"></script>
+
+    <link
+    rel="stylesheet"
+    href="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.8.0/build/styles/default.min.css"
+  />
+    <script
+    defer
+    src="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.8.0/build/highlight.min.js"
+  ></script>
+    <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"
+  ></script>
+  <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"
+  ></script>
+  <script
+    defer
+    src="https://cdn.jsdelivr.net/npm/dompurify@3.0.6/dist/purify.min.js"
+  ></script>
+
+  <link href="/static/general.css" rel="stylesheet" />
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&family=Roboto:wght@400;500&display=swap" rel="stylesheet">
+    <link
+    href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700,900&display=swap"
+    rel="stylesheet" />
+  <link
+    rel="stylesheet"
+    href="https://cdn.jsdelivr.net/npm/tw-elements/css/tw-elements.min.css" />
+  <script src="https://cdn.tailwindcss.com/3.3.0"></script>
+  <script>
+    tailwind.config = {
+      darkMode: "class",
+      theme: {
+        fontFamily: {
+          sans: ["Roboto", "sans-serif"],
+          body: ["Roboto", "sans-serif"],
+          mono: ["ui-monospace", "monospace"],
+        },
+      },
+      corePlugins: {
+        preflight: false,
+      },
+    };
+  </script>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.1.1/css/all.min.css">
+    <script src="https://unpkg.com/htmx.org@1.9.12" integrity="sha384-ujb1lZYygJmzgSwoxRggbCHcjc0rB2XoQrxeTUQyRjrOnlCoYta87iKBWq3EsdM2" crossorigin="anonymous"></script>
+</head>
+
+<body class="bg-gray-900 text-gray-200">
+<div class="flex flex-col min-h-screen">
+
+<nav class="bg-gray-800 shadow-lg">
+    <div class="container mx-auto px-4 py-4">
+        <div class="flex items-center justify-between">
+            <div class="flex items-center">
+                <a href="/" class="text-white text-xl font-bold"><img src="https://github.com/mudler/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
+                <a href="/" class="text-white text-xl font-bold">LocalAI</a>
+            </div>
+            <!-- Menu button for small screens -->
+            <div class="lg:hidden">
+                <button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
+                    <i class="fas fa-bars fa-lg"></i>
+                </button>
+            </div>
+            <!-- Navigation links -->
+            <div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
+                <a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
+            </div>
+        </div>
+        <!-- Collapsible menu for small screens -->
+        <div class="hidden lg:hidden" id="mobile-menu">
+            <div class="pt-4 pb-3 border-t border-gray-700">
+
+                <a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
+
+            </div>
+        </div>
+    </div>
+</nav>
+
+<style>
+  .is-hidden {
+	display: none;
+	  }
+</style>
+
+<div class="container mx-auto px-4 flex-grow">
+
+<div class="models mt-12">
+	<h2 class="text-center text-3xl font-semibold text-gray-100">
+	LocalAI model gallery list </h2><br>
+
+	<h2 class="text-center text-3xl font-semibold text-gray-100">
+
+	 🖼️ Available {{.AvailableModels}} models</i> <a href="https://localai.io/models/" target="_blank" >
+			<i class="fas fa-circle-info pr-2"></i>
+		</a></h2>
+
+	<h3>
+	Refer to the Model gallery <a href="https://localai.io/models/" target="_blank" ><i class="fas fa-circle-info pr-2"></i></a> for more information on how to use the models with LocalAI.<br>
+
+	You can install models with the CLI command <code>local-ai models install <model-name></code>. or by using the WebUI.
+	</h3>
+
+	<input class="form-control appearance-none block w-full mt-5 px-3 py-2 text-base font-normal text-gray-300 pb-2 mb-5 bg-gray-800 bg-clip-padding border border-solid border-gray-600 rounded transition ease-in-out m-0 focus:text-gray-300 focus:bg-gray-900 focus:border-blue-500 focus:outline-none" type="search"
+	id="searchbox" placeholder="Live search keyword..">
+	  <div class="dark grid grid-cols-1 grid-rows-1 md:grid-cols-3 block rounded-lg shadow-secondary-1 dark:bg-surface-dark">
+		{{ range $_, $model := .Models }}
+		<div class="box me-4 mb-2 block rounded-lg bg-white shadow-secondary-1  dark:bg-gray-800 dark:bg-surface-dark dark:text-white text-surface pb-2">
+		<div>
+		    {{ $icon := "https://upload.wikimedia.org/wikipedia/commons/6/65/No-Image-Placeholder.svg" }}
+			{{ if $model.Icon }}
+	  		{{ $icon = $model.Icon }}
+	  		{{ end }}
+			<div class="flex justify-center items-center">
+				<img data-src="{{ $icon }}" alt="{{$model.Name}}" class="rounded-t-lg max-h-48 max-w-96 object-cover mt-3 lazy">
+			</div>
+	  		<div class="p-6 text-surface dark:text-white">
+				<h5 class="mb-2 text-xl font-medium leading-tight">{{$model.Name}}</h5>
+
+
+				<p class="mb-4 text-base truncate">{{ $model.Description }}</p>
+
+			</div>
+			<div class="px-6 pt-4 pb-2">
+
+      <!-- Modal toggle -->
+      <button data-modal-target="{{ $model.Name}}-modal" data-modal-toggle="{{ $model.Name }}-modal" class="block text-white bg-blue-700 hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm px-5 py-2.5 text-center dark:bg-blue-600 dark:hover:bg-blue-700 dark:focus:ring-blue-800" type="button">
+        More info
+      </button>
+
+    <!-- Main modal -->
+    <div id="{{ $model.Name}}-modal" tabindex="-1" aria-hidden="true" class="hidden overflow-y-auto overflow-x-hidden fixed top-0 right-0 left-0 z-50 justify-center items-center w-full md:inset-0 h-[calc(100%-1rem)] max-h-full">
+        <div class="relative p-4 w-full max-w-2xl max-h-full">
+            <!-- Modal content -->
+            <div class="relative bg-white rounded-lg shadow dark:bg-gray-700">
+                <!-- Modal header -->
+                <div class="flex items-center justify-between p-4 md:p-5 border-b rounded-t dark:border-gray-600">
+                    <h3 class="text-xl font-semibold text-gray-900 dark:text-white">
+                        {{ $model.Name}}
+                    </h3>
+                    <button type="button" class="text-gray-400 bg-transparent hover:bg-gray-200 hover:text-gray-900 rounded-lg text-sm w-8 h-8 ms-auto inline-flex justify-center items-center dark:hover:bg-gray-600 dark:hover:text-white" data-modal-hide="{{$model.Name}}-modal">
+                        <svg class="w-3 h-3" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 14 14">
+                            <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m1 1 6 6m0 0 6 6M7 7l6-6M7 7l-6 6"/>
+                        </svg>
+                        <span class="sr-only">Close modal</span>
+                    </button>
+                </div>
+                <!-- Modal body -->
+                <div class="p-4 md:p-5 space-y-4">
+                    <div class="flex justify-center items-center">
+                    <img data-src="{{ $icon }}" alt="{{$model.Name}}" class="lazy rounded-t-lg max-h-48 max-w-96 object-cover mt-3">
+                  </div>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    {{ $model.Description }}
+
+                    </p>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    To install the model with the CLI, run: <br>
+                    <code> local-ai models install {{$model.Name}} </code> <br>
+
+                    <hr>
+                    See also <a href="https://localai.io/models/" target="_blank" >
+                    Installation <i class="fas fa-circle-info pr-2"></i>
+                    </a> to see how to install models with the REST API.
+                    </p>
+
+                    <p class="text-base leading-relaxed text-gray-500 dark:text-gray-400">
+                    <ul>
+                    {{ range $_, $u := $model.URLs }}
+                    <li><a href="{{ $u }}" target=_blank><i class="fa-solid fa-link"></i> {{ $u }}</a></li>
+                    {{ end }}
+                    </ul>
+                    </p>
+                </div>
+                <!-- Modal footer -->
+                <div class="flex items-center p-4 md:p-5 border-t border-gray-200 rounded-b dark:border-gray-600">
+                    <button data-modal-hide="{{ $model.Name}}-modal" type="button" class="py-2.5 px-5 ms-3 text-sm font-medium text-gray-900 focus:outline-none bg-white rounded-lg border border-gray-200 hover:bg-gray-100 hover:text-blue-700 focus:z-10 focus:ring-4 focus:ring-gray-100 dark:focus:ring-gray-700 dark:bg-gray-800 dark:text-gray-400 dark:border-gray-600 dark:hover:text-white dark:hover:bg-gray-700">Close</button>
+                </div>
+            </div>
+        </div>
+    </div>
+
+
+			</div>
+		</div>
+		</div>
+		{{ end }}
+
+		</div>
+  </div>
+</div>
+
+<script>
+var lazyLoadInstance = new LazyLoad({
+  // Your custom settings go here
+});
+
+let cards = document.querySelectorAll('.box')
+
+function liveSearch() {
+    let search_query = document.getElementById("searchbox").value;
+
+    //Use innerText if all contents are visible
+    //Use textContent for including hidden elements
+    for (var i = 0; i < cards.length; i++) {
+        if(cards[i].textContent.toLowerCase()
+                .includes(search_query.toLowerCase())) {
+            cards[i].classList.remove("is-hidden");
+        } else {
+            cards[i].classList.add("is-hidden");
+        }
+    }
+}
+
+//A little delay
+let typingTimer;
+let typeInterval = 500;
+let searchInput = document.getElementById('searchbox');
+
+searchInput.addEventListener('keyup', () => {
+    clearTimeout(typingTimer);
+    typingTimer = setTimeout(liveSearch, typeInterval);
+});
+</script>
+
+</div>
+
+<script src="https://cdnjs.cloudflare.com/ajax/libs/flowbite/2.3.0/flowbite.min.js"></script>
+</body>
+</html>
+`
+
+type GalleryModel struct {
+	Name        string   `json:"name" yaml:"name"`
+	URLs        []string `json:"urls" yaml:"urls"`
+	Icon        string   `json:"icon" yaml:"icon"`
+	Description string   `json:"description" yaml:"description"`
+}
+
+func main() {
+	// read the YAML file which contains the models
+
+	f, err := ioutil.ReadFile(os.Args[1])
+	if err != nil {
+		fmt.Println("Error reading file:", err)
+		return
+	}
+
+	models := []*GalleryModel{}
+	err = yaml.Unmarshal(f, &models)
+	if err != nil {
+		// write to stderr
+		os.Stderr.WriteString("Error unmarshaling YAML: " + err.Error() + "\n")
+		return
+	}
+
+	// render the template
+	data := struct {
+		Models          []*GalleryModel
+		AvailableModels int
+	}{
+		Models:          models,
+		AvailableModels: len(models),
+	}
+	tmpl := template.Must(template.New("modelPage").Parse(modelPageTemplate))
+
+	err = tmpl.Execute(os.Stdout, data)
+	if err != nil {
+		fmt.Println("Error executing template:", err)
+		return
+	}
+}
--- a/.github/workflows/generate_grpc_cache.yaml
+++ b/.github/workflows/generate_grpc_cache.yaml
@@ -17,7 +17,7 @@ jobs:
        include:
          - grpc-base-image: ubuntu:22.04
            runs-on: 'ubuntu-latest'
-            platforms: 'linux/amd64'
+            platforms: 'linux/amd64,linux/arm64'
    runs-on: ${{matrix.runs-on}}
    steps:
      - name: Release space from worker
@@ -84,7 +84,7 @@ jobs:
          build-args: |
            GRPC_BASE_IMAGE=${{ matrix.grpc-base-image }}
            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
-            GRPC_VERSION=v1.63.0
+            GRPC_VERSION=v1.64.0
          context: .
          file: ./Dockerfile
          cache-to: type=gha,ignore-error=true
--- a/.github/workflows/generate_intel_image.yaml
+++ b/.github/workflows/generate_intel_image.yaml
@@ -0,0 +1,59 @@
+name: 'generate and publish intel docker caches'
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - master
+
+concurrency:
+  group: intel-cache-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate_caches:
+    strategy:
+      matrix:
+        include:
+          - base-image: intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04
+            runs-on: 'ubuntu-latest'
+            platforms: 'linux/amd64'
+    runs-on: ${{matrix.runs-on}}
+    steps:
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@master
+        with:
+          platforms: all
+      - name: Login to DockerHub
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_PASSWORD }}
+
+      - name: Login to quay
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v3
+        with:
+          registry: quay.io
+          username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+          password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@master
+
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Cache Intel images
+        uses: docker/build-push-action@v5
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          build-args: |
+            BASE_IMAGE=${{ matrix.base-image }}
+          context: .
+          file: ./Dockerfile
+          tags: quay.io/go-skynet/intel-oneapi-base:latest
+          push: true
+          target: intel
+          platforms: ${{ matrix.platforms }}
--- a/.github/workflows/image-pr.yml
+++ b/.github/workflows/image-pr.yml
@@ -32,7 +32,7 @@ jobs:
    strategy:
      # Pushing with all jobs in parallel
      # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
+      max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
      matrix:
        include:
          - build-type: ''
@@ -46,7 +46,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -68,7 +68,7 @@ jobs:
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: 'sycl-f16-ffmpeg'
            ffmpeg: 'true'
@@ -110,7 +110,7 @@ jobs:
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: 'sycl-f16-ffmpeg-core'
            ffmpeg: 'true'
@@ -119,7 +119,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda12-ffmpeg-core'
@@ -127,4 +127,13 @@ jobs:
            image-type: 'core'
            runs-on: 'ubuntu-latest'
            base-image: "ubuntu:22.04"
-            makeflags: "--jobs=4 --output-sync=target"
+            makeflags: "--jobs=4 --output-sync=target"
+          - build-type: 'vulkan'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-vulkan-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
--- a/.github/workflows/image.yml
+++ b/.github/workflows/image.yml
@@ -39,7 +39,7 @@ jobs:
    strategy:
      # Pushing with all jobs in parallel
      # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
+      max-parallel: ${{ github.event_name != 'pull_request' && 6 || 12 }}
      matrix:
        include:
          # Extra images
@@ -64,7 +64,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda11'
@@ -75,7 +75,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda12'
@@ -86,7 +86,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-cublas-cuda11-ffmpeg'
@@ -100,7 +100,7 @@ jobs:
            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'auto'
            tag-suffix: '-cublas-cuda12-ffmpeg'
@@ -148,7 +148,7 @@ jobs:
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f16-ffmpeg'
            ffmpeg: 'true'
@@ -161,7 +161,7 @@ jobs:
          - build-type: 'sycl_f32'
            platforms: 'linux/amd64'
            tag-latest: 'auto'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f32-ffmpeg'
            ffmpeg: 'true'
@@ -175,7 +175,7 @@ jobs:
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f16-core'
            ffmpeg: 'false'
@@ -185,7 +185,7 @@ jobs:
          - build-type: 'sycl_f32'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f32-core'
            ffmpeg: 'false'
@@ -195,7 +195,7 @@ jobs:
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f16-ffmpeg-core'
            ffmpeg: 'true'
@@ -205,7 +205,7 @@ jobs:
          - build-type: 'sycl_f32'
            platforms: 'linux/amd64'
            tag-latest: 'false'
-            base-image: "intel/oneapi-basekit:2024.1.0-devel-ubuntu22.04"
+            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
            grpc-base-image: "ubuntu:22.04"
            tag-suffix: '-sycl-f32-ffmpeg-core'
            ffmpeg: 'true'
@@ -232,7 +232,7 @@ jobs:
            grpc-base-image: "ubuntu:22.04"
            runs-on: 'arc-runner-set'
            makeflags: "--jobs=3 --output-sync=target"
-  
+
  core-image-build:
    uses: ./.github/workflows/image_build.yml
    with:
@@ -260,58 +260,67 @@ jobs:
      matrix:
        include:
          - build-type: ''
-            platforms: 'linux/amd64'
+            platforms: 'linux/amd64,linux/arm64'
            tag-latest: 'auto'
            tag-suffix: '-ffmpeg-core'
            ffmpeg: 'true'
            image-type: 'core'
            base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            aio: "-aio-cpu"
            latest-image: 'latest-cpu'
            latest-image-aio: 'latest-aio-cpu'
            makeflags: "--jobs=4 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda11-core'
            ffmpeg: ''
            image-type: 'core'
            base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            makeflags: "--jobs=4 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda12-core'
            ffmpeg: ''
            image-type: 'core'
            base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            makeflags: "--jobs=4 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "11"
-            cuda-minor-version: "7"
+            cuda-minor-version: "8"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda11-ffmpeg-core'
            ffmpeg: 'true'
            image-type: 'core'
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            base-image: "ubuntu:22.04"
            makeflags: "--jobs=4 --output-sync=target"
          - build-type: 'cublas'
            cuda-major-version: "12"
-            cuda-minor-version: "1"
+            cuda-minor-version: "5"
            platforms: 'linux/amd64'
            tag-latest: 'false'
            tag-suffix: '-cublas-cuda12-ffmpeg-core'
            ffmpeg: 'true'
            image-type: 'core'
-            runs-on: 'ubuntu-latest'
+            runs-on: 'arc-runner-set'
            base-image: "ubuntu:22.04"
            makeflags: "--jobs=4 --output-sync=target"
+          - build-type: 'vulkan'
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'false'
+            tag-suffix: '-vulkan-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            runs-on: 'arc-runner-set'
+            base-image: "ubuntu:22.04"
+            makeflags: "--jobs=4 --output-sync=target"
--- a/.github/workflows/image_build.yml
+++ b/.github/workflows/image_build.yml
@@ -19,11 +19,11 @@ on:
        type: string
      cuda-major-version:
        description: 'CUDA major version'
-        default: "11"
+        default: "12"
        type: string
      cuda-minor-version:
        description: 'CUDA minor version'
-        default: "7"
+        default: "5"
        type: string
      platforms:
        description: 'Platforms'
@@ -136,6 +136,7 @@ jobs:

      - name: Docker meta
        id: meta
+        if: github.event_name != 'pull_request'
        uses: docker/metadata-action@v5
        with:
          images: |
@@ -148,7 +149,20 @@ jobs:
          flavor: |
            latest=${{ inputs.tag-latest }}
            suffix=${{ inputs.tag-suffix }}
-
+      - name: Docker meta for PR
+        id: meta_pull_request
+        if: github.event_name == 'pull_request'
+        uses: docker/metadata-action@v5
+        with:
+          images: |
+            ttl.sh/localai-ci-pr-${{ github.event.number }}
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=${{ inputs.tag-latest }}
+            suffix=${{ inputs.tag-suffix }}
      - name: Docker meta AIO (quay.io)
        if: inputs.aio != ''
        id: meta_aio
@@ -174,7 +188,6 @@ jobs:
            type=ref,event=branch
            type=semver,pattern={{raw}}
          flavor: |
-            latest=${{ inputs.tag-latest }}
            suffix=${{ inputs.aio }}

      - name: Set up QEMU
@@ -203,6 +216,7 @@ jobs:

      - name: Build and push
        uses: docker/build-push-action@v5
+        if: github.event_name != 'pull_request'
        with:
          builder: ${{ steps.buildx.outputs.name }}
          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
@@ -218,7 +232,7 @@ jobs:
            BASE_IMAGE=${{ inputs.base-image }}
            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
-            GRPC_VERSION=v1.63.0
+            GRPC_VERSION=v1.64.0
            MAKEFLAGS=${{ inputs.makeflags }}
          context: .
          file: ./Dockerfile
@@ -227,7 +241,39 @@ jobs:
          push: ${{ github.event_name != 'pull_request' }}
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
-
+### Start testing image
+      - name: Build and push
+        uses: docker/build-push-action@v5
+        if: github.event_name == 'pull_request'
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          # This is why some build args like GRPC_VERSION and MAKEFLAGS are hardcoded
+          build-args: |
+            BUILD_TYPE=${{ inputs.build-type }}
+            CUDA_MAJOR_VERSION=${{ inputs.cuda-major-version }}
+            CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
+            FFMPEG=${{ inputs.ffmpeg }}
+            IMAGE_TYPE=${{ inputs.image-type }}
+            BASE_IMAGE=${{ inputs.base-image }}
+            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.64.0
+            MAKEFLAGS=${{ inputs.makeflags }}
+          context: .
+          file: ./Dockerfile
+          cache-from: type=gha
+          platforms: ${{ inputs.platforms }}
+          push: true
+          tags: ${{ steps.meta_pull_request.outputs.tags }}
+          labels: ${{ steps.meta_pull_request.outputs.labels }}
+      - name: Testing image
+        if: github.event_name == 'pull_request'
+        run: |
+          echo "Image is available at ttl.sh/localai-ci-pr-${{ github.event.number }}:${{ steps.meta_pull_request.outputs.version }}" >> $GITHUB_STEP_SUMMARY
+## End testing image
      - name: Build and push AIO image
        if: inputs.aio != ''
        uses: docker/build-push-action@v5
@@ -278,7 +324,7 @@ jobs:
          docker pull quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }}
          docker tag quay.io/go-skynet/local-ai:${{ steps.meta_aio.outputs.version }} quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
          docker push quay.io/go-skynet/local-ai:${{ inputs.latest-image-aio }}
-  
+
      - name: job summary
        run: |
          echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -1,11 +1,11 @@
 name: Build and Release

-on: 
+on:
 - push
 - pull_request

 env:
-  GRPC_VERSION: v1.63.0
+  GRPC_VERSION: v1.64.0

 permissions:
  contents: write
@@ -15,16 +15,8 @@ concurrency:
  cancel-in-progress: true

 jobs:
-  build-linux:
-    strategy:
-      matrix:
-        include:
-          - build: ''
-            defines: ''
-          - build: 'cuda12'
-            defines: ''
-          - build: 'cuda11'
-            defines: ''
+
+  build-linux-arm:
    runs-on: ubuntu-latest
    steps:
      - name: Clone
@@ -35,22 +27,166 @@ jobs:
        with:
          go-version: '1.21.x'
          cache: false
+
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg protobuf-compiler ccache
+          sudo apt-get install -qy binutils-aarch64-linux-gnu gcc-aarch64-linux-gnu g++-aarch64-linux-gnu
+      - name: Install CUDA Dependencies
+        run: |
+          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/cross-linux-aarch64/cuda-keyring_1.1-1_all.deb
+          sudo dpkg -i cuda-keyring_1.1-1_all.deb
+          sudo apt-get update
+          sudo apt-get install -y cuda-cross-aarch64 cuda-nvcc-cross-aarch64-${CUDA_VERSION} libcublas-cross-aarch64-${CUDA_VERSION}
+        env:
+          CUDA_VERSION: 12-5
+      - name: Cache grpc
+        id: cache-grpc
+        uses: actions/cache@v4
+        with:
+          path: grpc
+          key: ${{ runner.os }}-arm-grpc-${{ env.GRPC_VERSION }}
+      - name: Build grpc
+        if: steps.cache-grpc.outputs.cache-hit != 'true'
+        run: |
+
+          git clone --recurse-submodules -b ${{ env.GRPC_VERSION }} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+          cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
+            -DgRPC_BUILD_TESTS=OFF \
+            ../.. && sudo make --jobs 5 --output-sync=target
+      - name: Install gRPC
+        run: |
+          GNU_HOST=aarch64-linux-gnu
+          C_COMPILER_ARM_LINUX=$GNU_HOST-gcc
+          CXX_COMPILER_ARM_LINUX=$GNU_HOST-g++
+
+          CROSS_TOOLCHAIN=/usr/$GNU_HOST
+          CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
+          CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
+
+          # https://cmake.org/cmake/help/v3.13/manual/cmake-toolchains.7.html#cross-compiling-for-linux
+          echo "set(CMAKE_SYSTEM_NAME Linux)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_SYSTEM_PROCESSOR arm)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_STAGING_PREFIX $CROSS_STAGING_PREFIX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_SYSROOT ${CROSS_TOOLCHAIN}/sysroot)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_C_COMPILER /usr/bin/$C_COMPILER_ARM_LINUX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_CXX_COMPILER /usr/bin/$CXX_COMPILER_ARM_LINUX)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)" >> $CMAKE_CROSS_TOOLCHAIN && \
+            echo "set(CMAKE_FIND_ROOT_PATH_MODE_PACKAGE ONLY)" >> $CMAKE_CROSS_TOOLCHAIN
+          GRPC_DIR=$PWD/grpc
+          cd grpc && cd cmake/build && sudo make --jobs 5 --output-sync=target install && \
+          GRPC_CROSS_BUILD_DIR=$GRPC_DIR/cmake/cross_build && \
+          mkdir -p $GRPC_CROSS_BUILD_DIR && \
+          cd $GRPC_CROSS_BUILD_DIR && \
+          cmake -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN \
+            -DCMAKE_BUILD_TYPE=Release \
+            -DCMAKE_INSTALL_PREFIX=$CROSS_TOOLCHAIN/grpc_install \
+            ../.. && \
+          sudo make -j`nproc` install
+      - name: Build
+        id: build
+        run: |
+          GNU_HOST=aarch64-linux-gnu
+          C_COMPILER_ARM_LINUX=$GNU_HOST-gcc
+          CXX_COMPILER_ARM_LINUX=$GNU_HOST-g++
+
+          CROSS_TOOLCHAIN=/usr/$GNU_HOST
+          CROSS_STAGING_PREFIX=$CROSS_TOOLCHAIN/stage
+          CMAKE_CROSS_TOOLCHAIN=/tmp/arm.toolchain.cmake
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+          export PATH=$PATH:$GOPATH/bin
+          export PATH=/usr/local/cuda/bin:$PATH
+          sudo rm -rf /usr/aarch64-linux-gnu/lib/libstdc++.so.6
+          sudo cp -rf /usr/aarch64-linux-gnu/lib/libstdc++.so* /usr/aarch64-linux-gnu/lib/libstdc++.so.6
+          sudo cp /usr/aarch64-linux-gnu/lib/ld-linux-aarch64.so.1 ld.so
+          GO_TAGS=p2p \
+          BACKEND_LIBS="./grpc/cmake/cross_build/third_party/re2/libre2.a ./grpc/cmake/cross_build/libgrpc.a ./grpc/cmake/cross_build/libgrpc++.a ./grpc/cmake/cross_build/third_party/protobuf/libprotobuf.a /usr/aarch64-linux-gnu/lib/libc.so.6 /usr/aarch64-linux-gnu/lib/libstdc++.so.6 /usr/aarch64-linux-gnu/lib/libgomp.so.1 /usr/aarch64-linux-gnu/lib/libm.so.6 /usr/aarch64-linux-gnu/lib/libgcc_s.so.1 /usr/aarch64-linux-gnu/lib/libdl.so.2 /usr/aarch64-linux-gnu/lib/libpthread.so.0 ./ld.so" \
+          GOOS=linux \
+          GOARCH=arm64 \
+          CMAKE_ARGS="-DProtobuf_INCLUDE_DIRS=$CROSS_STAGING_PREFIX/include -DProtobuf_DIR=$CROSS_STAGING_PREFIX/lib/cmake/protobuf -DgRPC_DIR=$CROSS_STAGING_PREFIX/lib/cmake/grpc -DCMAKE_TOOLCHAIN_FILE=$CMAKE_CROSS_TOOLCHAIN -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++" make dist-cross-linux-arm64
+      - uses: actions/upload-artifact@v4
+        with:
+          name: LocalAI-linux-arm64
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v2
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
+  build-linux:
+    runs-on: arc-runner-set
+    steps:
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
+      - name: Clone
+        uses: actions/checkout@v4
+        with:
+          submodules: true
+      - uses: actions/setup-go@v5
+        with:
+          go-version: '1.21.x'
+          cache: false
      - name: Dependencies
        run: |
          sudo apt-get update
-          sudo apt-get install build-essential ffmpeg protobuf-compiler
-      - name: Install CUDA Dependencies
-        if: ${{ matrix.build == 'cuda12' || matrix.build == 'cuda11' }}
+          sudo apt-get install -y wget curl build-essential ffmpeg protobuf-compiler ccache cmake
+      - name: Intel Dependencies
+        run: |
+          wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
+          echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
+          sudo apt update
+          sudo apt install -y intel-basekit
+      - name: Install CUDA Dependencies
        run: |
-          if [ "${{ matrix.build }}" == "cuda12" ]; then
-            export CUDA_VERSION=12-3
-          else
-            export CUDA_VERSION=11-7
-          fi
          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
          sudo dpkg -i cuda-keyring_1.1-1_all.deb
          sudo apt-get update
          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
+        env:
+          CUDA_VERSION: 12-3
+      - name: "Install Hipblas"
+        env:
+          ROCM_VERSION: "6.1"
+          AMDGPU_VERSION: "6.1"
+        run: |
+            set -ex
+
+            sudo apt-get update
+            sudo DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates curl libnuma-dev gnupg
+
+            curl -sL https://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add -
+
+            printf "deb [arch=amd64] https://repo.radeon.com/rocm/apt/$ROCM_VERSION/ jammy main" | sudo tee /etc/apt/sources.list.d/rocm.list
+
+            printf "deb [arch=amd64] https://repo.radeon.com/amdgpu/$AMDGPU_VERSION/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
+            printf 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
+            sudo apt-get update
+
+            sudo DEBIAN_FRONTEND=noninteractive apt-get install -y \
+                hipblas-dev rocm-dev \
+                rocblas-dev
+
+            sudo apt-get clean
+            sudo rm -rf /var/lib/apt/lists/*
+            sudo ldconfig
      - name: Cache grpc
        id: cache-grpc
        uses: actions/cache@v4
@@ -67,24 +203,23 @@ jobs:
      - name: Install gRPC
        run: |
          cd grpc && cd cmake/build && sudo make --jobs 5 --output-sync=target install
+      # BACKEND_LIBS needed for gpu-workload: /opt/intel/oneapi/*/lib/libiomp5.so /opt/intel/oneapi/*/lib/libmkl_core.so /opt/intel/oneapi/*/lib/libmkl_core.so.2 /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so /opt/intel/oneapi/*/lib/libmkl_intel_ilp64.so.2 /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so /opt/intel/oneapi/*/lib/libmkl_sycl_blas.so.4 /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so /opt/intel/oneapi/*/lib/libmkl_tbb_thread.so.2 /opt/intel/oneapi/*/lib/libsycl.so /opt/intel/oneapi/*/lib/libsycl.so.7 /opt/intel/oneapi/*/lib/libsycl.so.7.1.0 /opt/rocm-*/lib/libamdhip64.so /opt/rocm-*/lib/libamdhip64.so.5 /opt/rocm-*/lib/libamdhip64.so.6 /opt/rocm-*/lib/libamdhip64.so.6.1.60100 /opt/rocm-*/lib/libhipblas.so /opt/rocm-*/lib/libhipblas.so.2 /opt/rocm-*/lib/libhipblas.so.2.1.60100 /opt/rocm-*/lib/librocblas.so /opt/rocm-*/lib/librocblas.so.4 /opt/rocm-*/lib/librocblas.so.4.1.60100 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1 /usr/lib/x86_64-linux-gnu/libOpenCL.so.1.0.0 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/librt.so.1 /usr/local/cuda-*/targets/x86_64-linux/lib/libcublas.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcublasLt.so /usr/local/cuda-*/targets/x86_64-linux/lib/libcudart.so /usr/local/cuda-*/targets/x86_64-linux/lib/stubs/libcuda.so
      - name: Build
        id: build
-        env:
-          BUILD_ID: "${{ matrix.build }}"
        run: |
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@latest
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
          export PATH=$PATH:$GOPATH/bin
-          if [ "${{ matrix.build }}" == "cuda12" ] || [ "${{ matrix.build }}" == "cuda11" ]; then
-            export BUILD_TYPE=cublas
-            export PATH=/usr/local/cuda/bin:$PATH
-            make dist
-          else
-            STATIC=true make dist
-          fi
+          export PATH=/usr/local/cuda/bin:$PATH
+          export PATH=/opt/rocm/bin:$PATH
+          source /opt/intel/oneapi/setvars.sh
+          sudo cp /lib64/ld-linux-x86-64.so.2 ld.so
+          GO_TAGS=p2p \
+          BACKEND_LIBS="./ld.so /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/lib/x86_64-linux-gnu/libm.so.6 /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 /usr/lib/x86_64-linux-gnu/libc.so.6 /usr/lib/x86_64-linux-gnu/libgomp.so.1" \
+          make -j4 dist
      - uses: actions/upload-artifact@v4
        with:
-          name: LocalAI-linux-${{ matrix.build }}
+          name: LocalAI-linux
          path: release/
      - name: Release
        uses: softprops/action-gh-release@v2
@@ -92,7 +227,13 @@ jobs:
        with:
          files: |
            release/*
-
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
  build-stablediffusion:
    runs-on: ubuntu-latest
    steps:
@@ -106,18 +247,27 @@ jobs:
          cache: false
      - name: Dependencies
        run: |
-          sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@latest
+          sudo apt-get update
+          sudo apt-get install -y --no-install-recommends libopencv-dev protobuf-compiler ccache
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
      - name: Build stablediffusion
        run: |
          export PATH=$PATH:$GOPATH/bin
          make backend-assets/grpc/stablediffusion
          mkdir -p release && cp backend-assets/grpc/stablediffusion release
+        env:
+          GO_TAGS: stablediffusion
      - uses: actions/upload-artifact@v4
        with:
          name: stablediffusion
          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v2
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*

  build-macOS-arm64:
    runs-on: macos-14
@@ -133,15 +283,16 @@ jobs:
      - name: Dependencies
        run: |
          brew install protobuf grpc
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@latest
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
      - name: Build
        id: build
        run: |
          export C_INCLUDE_PATH=/usr/local/include
          export CPLUS_INCLUDE_PATH=/usr/local/include
          export PATH=$PATH:$GOPATH/bin
-          make dist
+
+          BACKEND_LIBS="$(ls /opt/homebrew/opt/grpc/lib/*.dylib /opt/homebrew/opt/re2/lib/*.dylib /opt/homebrew/opt/openssl@3/lib/*.dylib /opt/homebrew/opt/protobuf/lib/*.dylib /opt/homebrew/opt/abseil/lib/*.dylib | xargs)" GO_TAGS=p2p make dist
      - uses: actions/upload-artifact@v4
        with:
          name: LocalAI-MacOS-arm64
@@ -152,3 +303,10 @@ jobs:
        with:
          files: |
            release/*
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.18
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
--- a/.github/workflows/test-extra.yml
+++ b/.github/workflows/test-extra.yml
@@ -25,22 +25,14 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
+          pip install --user grpcio-tools==1.64.0
          
-          sudo rm -rfv /usr/bin/conda || true
-
      - name: Test transformers
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/transformers
           make --jobs=5 --output-sync=target -C backend/python/transformers test

@@ -55,22 +47,14 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
+          pip install --user grpcio-tools==1.64.0
          
-          sudo rm -rfv /usr/bin/conda || true
-
      - name: Test sentencetransformers
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/sentencetransformers
           make --jobs=5 --output-sync=target -C backend/python/sentencetransformers test

@@ -86,22 +70,14 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
-          
-          sudo rm -rfv /usr/bin/conda || true
+          pip install --user grpcio-tools==1.64.0

      - name: Test rerankers
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/rerankers
           make --jobs=5 --output-sync=target -C backend/python/rerankers test

@@ -115,25 +91,16 @@ jobs:
      - name: Dependencies
        run: |
          sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          sudo apt-get install -y build-essential ffmpeg
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
-          
-          sudo rm -rfv /usr/bin/conda || true
-
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user grpcio-tools==1.64.0
      - name: Test diffusers
        run: |
-           export PATH=$PATH:/opt/conda/bin
-           make --jobs=5 --output-sync=target -C backend/python/diffusers
-           make --jobs=5 --output-sync=target -C backend/python/diffusers test
+          make --jobs=5 --output-sync=target -C backend/python/diffusers
+          make --jobs=5 --output-sync=target -C backend/python/diffusers test

  tests-parler-tts:
    runs-on: ubuntu-latest
@@ -146,24 +113,38 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
-          
-          sudo rm -rfv /usr/bin/conda || true
+          pip install --user grpcio-tools==1.64.0

      - name: Test parler-tts
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/parler-tts
           make --jobs=5 --output-sync=target -C backend/python/parler-tts test
+  
+  tests-openvoice:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v4
+        with: 
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          sudo apt-get install -y libopencv-dev
+          pip install --user grpcio-tools==1.64.0
+
+      - name: Test openvoice
+        run: |
+           make --jobs=5 --output-sync=target -C backend/python/openvoice
+           make --jobs=5 --output-sync=target -C backend/python/openvoice test

  tests-transformers-musicgen:
    runs-on: ubuntu-latest
@@ -176,22 +157,14 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
-          
-          sudo rm -rfv /usr/bin/conda || true
+          pip install --user grpcio-tools==1.64.0

      - name: Test transformers-musicgen
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen
           make --jobs=5 --output-sync=target -C backend/python/transformers-musicgen test

@@ -208,22 +181,14 @@ jobs:
  #       run: |
  #         sudo apt-get update
  #         sudo apt-get install build-essential ffmpeg
-  #         curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-  #            sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-  #             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-  #            sudo apt-get update && \
-  #            sudo apt-get install -y conda
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
  #         sudo apt-get install -y libopencv-dev
-  #         pip install --user grpcio-tools==1.63.0
-          
-  #         sudo rm -rfv /usr/bin/conda || true
+  #         pip install --user grpcio-tools==1.64.0

  #     - name: Test petals
  #       run: |
-  #          export PATH=$PATH:/opt/conda/bin
  #          make --jobs=5 --output-sync=target -C backend/python/petals
  #          make --jobs=5 --output-sync=target -C backend/python/petals test

@@ -280,22 +245,14 @@ jobs:
  #       run: |
  #         sudo apt-get update
  #         sudo apt-get install build-essential ffmpeg
-  #         curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-  #            sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-  #             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-  #            sudo apt-get update && \
-  #            sudo apt-get install -y conda
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
  #         sudo apt-get install -y libopencv-dev
-  #         pip install --user grpcio-tools==1.63.0
-          
-  #         sudo rm -rfv /usr/bin/conda || true
+  #         pip install --user grpcio-tools==1.64.0

  #     - name: Test bark
  #       run: |
-  #          export PATH=$PATH:/opt/conda/bin
  #          make --jobs=5 --output-sync=target -C backend/python/bark
  #          make --jobs=5 --output-sync=target -C backend/python/bark test

@@ -313,20 +270,13 @@ jobs:
  #       run: |
  #         sudo apt-get update
  #         sudo apt-get install build-essential ffmpeg
-  #         curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-  #            sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-  #             gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-  #            sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-  #            sudo apt-get update && \
-  #            sudo apt-get install -y conda
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
  #         sudo apt-get install -y libopencv-dev
-  #         pip install --user grpcio-tools==1.63.0
-  #         sudo rm -rfv /usr/bin/conda || true
+  #         pip install --user grpcio-tools==1.64.0
  #     - name: Test vllm
  #       run: |
-  #          export PATH=$PATH:/opt/conda/bin
  #          make --jobs=5 --output-sync=target -C backend/python/vllm
  #          make --jobs=5 --output-sync=target -C backend/python/vllm test
  tests-vallex:
@@ -340,20 +290,13 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
          sudo apt-get install -y libopencv-dev
-          pip install --user grpcio-tools==1.63.0
-          sudo rm -rfv /usr/bin/conda || true
+          pip install --user grpcio-tools==1.64.0
      - name: Test vall-e-x
        run: |
-           export PATH=$PATH:/opt/conda/bin
           make --jobs=5 --output-sync=target -C backend/python/vall-e-x
           make --jobs=5 --output-sync=target -C backend/python/vall-e-x test

@@ -368,19 +311,11 @@ jobs:
        run: |
          sudo apt-get update
          sudo apt-get install build-essential ffmpeg
-          curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-             sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-              gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
-             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
-             sudo apt-get update && \
-             sudo apt-get install -y conda
          sudo apt-get install -y ca-certificates cmake curl patch espeak espeak-ng python3-pip
-          pip install --user grpcio-tools==1.63.0
-          sudo rm -rfv /usr/bin/conda || true
-
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user grpcio-tools==1.64.0
      - name: Test coqui
        run: |
-           export PATH=$PATH:/opt/conda/bin
-           make --jobs=5 --output-sync=target -C backend/python/coqui
-           make --jobs=5 --output-sync=target -C backend/python/coqui test
+          make --jobs=5 --output-sync=target -C backend/python/coqui
+          make --jobs=5 --output-sync=target -C backend/python/coqui test
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -10,7 +10,7 @@ on:
      - '*'

 env:
-  GRPC_VERSION: v1.63.0
+  GRPC_VERSION: v1.64.0

 concurrency:
  group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
@@ -57,7 +57,7 @@ jobs:
          df -h
      - name: Clone
        uses: actions/checkout@v4
-        with: 
+        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
        uses: actions/setup-go@v5
@@ -78,6 +78,8 @@ jobs:
             sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
             sudo apt-get update && \
             sudo apt-get install -y conda
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
          sudo apt-get install -y ca-certificates cmake patch python3-pip unzip
          sudo apt-get install -y libopencv-dev

@@ -85,8 +87,14 @@ jobs:
          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
          rm protoc.zip

-          go install google.golang.org/protobuf/cmd/protoc-gen-go@latest
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
+          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+          sudo dpkg -i cuda-keyring_1.1-1_all.deb
+          sudo apt-get update
+          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
+          export CUDACXX=/usr/local/cuda/bin/nvcc
+
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.0
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@8ba23be9613c672d40ae261d2a1335d639bdd59b

          # The python3-grpc-tools package in 22.04 is too old
          pip install --user grpcio-tools
@@ -100,6 +108,8 @@ jobs:
          sudo cp -rfv sources/go-piper/piper-phonemize/pi/lib/. /usr/lib/ && \
          # Pre-build stable diffusion before we install a newer version of abseil (not compatible with stablediffusion-ncn)
          PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
+        env:
+          CUDA_VERSION: 12-3
      - name: Cache grpc
        id: cache-grpc
        uses: actions/cache@v4
@@ -164,11 +174,11 @@ jobs:
          df -h
      - name: Clone
        uses: actions/checkout@v4
-        with: 
+        with:
          submodules: true
      - name: Build images
        run: |
-          docker build --build-arg FFMPEG=true --build-arg IMAGE_TYPE=core --build-arg MAKEFLAGS="--jobs=5 --output-sync=target" -t local-ai:tests -f Dockerfile .
+          docker build --build-arg FFMPEG=true --build-arg IMAGE_TYPE=extras --build-arg EXTRA_BACKENDS=rerankers --build-arg MAKEFLAGS="--jobs=5 --output-sync=target" -t local-ai:tests -f Dockerfile .
          BASE_IMAGE=local-ai:tests DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio
      - name: Test
        run: |
@@ -190,7 +200,7 @@ jobs:
    steps:
      - name: Clone
        uses: actions/checkout@v4
-        with: 
+        with:
          submodules: true
      - name: Setup Go ${{ matrix.go-version }}
        uses: actions/setup-go@v5
@@ -203,7 +213,7 @@ jobs:
      - name: Dependencies
        run: |
          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc
-          pip install --user grpcio-tools==1.63.0
+          pip install --user grpcio-tools==1.64.0
      - name: Test
        run: |
          export C_INCLUDE_PATH=/usr/local/include
--- a/.gitignore
+++ b/.gitignore
@@ -6,6 +6,9 @@ get-sources
 prepare-sources
 /backend/cpp/llama/grpc-server
 /backend/cpp/llama/llama.cpp
+/backend/cpp/llama-*
+
+*.log

 go-ggml-transformers
 go-gpt2
@@ -39,6 +42,7 @@ backend-assets/*
 !backend-assets/.keep
 prepare
 /ggml-metal.metal
+docs/static/gallery.html

 # Protobuf generated files
 *.pb.go
@@ -46,4 +50,7 @@ prepare
 *pb2_grpc.py

 # SonarQube
-.scannerwork
+.scannerwork
+
+# backend virtual environments
+**/venv
--- a/226
+++ b/226
@@ -1,45 +1,40 @@
 ARG IMAGE_TYPE=extras
 ARG BASE_IMAGE=ubuntu:22.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
+ARG INTEL_BASE_IMAGE=${BASE_IMAGE}

 # The requirements-core target is common to all images.  It should not be placed in requirements-core unless every single build will use it.
 FROM ${BASE_IMAGE} AS requirements-core

 USER root

-ARG GO_VERSION=1.21.7
+ARG GO_VERSION=1.22.4
 ARG TARGETARCH
 ARG TARGETVARIANT

 ENV DEBIAN_FRONTEND=noninteractive
-ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
+ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"

-ARG GO_TAGS="stablediffusion tinydream tts"

 RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        build-essential \
+        ccache \
        ca-certificates \
        cmake \
        curl \
        git \
-        python3-pip \
-        python-is-python3 \
        unzip && \
    apt-get clean && \
-    rm -rf /var/lib/apt/lists/* && \
-    pip install --upgrade pip
+    rm -rf /var/lib/apt/lists/*

 # Install Go
 RUN curl -L -s https://go.dev/dl/go${GO_VERSION}.linux-${TARGETARCH}.tar.gz | tar -C /usr/local -xz
 ENV PATH $PATH:/root/go/bin:/usr/local/go/bin

 # Install grpc compilers
-RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@latest && \
-    go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@latest
-
-# Install grpcio-tools (the version in 22.04 is too old)
-RUN pip install --user grpcio-tools
+RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2 && \
+    go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af

 COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
 RUN update-ca-certificates
@@ -76,28 +71,24 @@ RUN test -n "$TARGETARCH" \
 # The requirements-extras target is for any builds with IMAGE_TYPE=extras. It should not be placed in this target unless every IMAGE_TYPE=extras build will use it
 FROM requirements-core AS requirements-extras

-RUN apt-get update && \
-    apt-get install -y --no-install-recommends gpg && \
-    curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
-    install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
-    gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
-    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
-    echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
-    apt-get update && \
-    apt-get install -y --no-install-recommends \
-        conda && \
-    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
-
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh
 ENV PATH="/root/.cargo/bin:${PATH}"

 RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
 RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        espeak-ng \
-        espeak && \
+        espeak \
+        python3-pip \
+        python-is-python3 \
+        python3-dev \
+        python3-venv && \
    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
+    rm -rf /var/lib/apt/lists/* && \
+    pip install --upgrade pip
+
+# Install grpcio-tools (the version in 22.04 is too old)
+RUN pip install --user grpcio-tools

 ###################################
 ###################################
@@ -107,22 +98,65 @@ RUN apt-get update && \
 FROM requirements-${IMAGE_TYPE} AS requirements-drivers

 ARG BUILD_TYPE
-ARG CUDA_MAJOR_VERSION=11
-ARG CUDA_MINOR_VERSION=7
+ARG CUDA_MAJOR_VERSION=12
+ARG CUDA_MINOR_VERSION=5

 ENV BUILD_TYPE=${BUILD_TYPE}

+# Vulkan requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "vulkan" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+                        software-properties-common pciutils wget gpg-agent && \
+        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
+        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
+        apt-get update && \
+            apt-get install -y \
+            vulkan-sdk && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
 # CuBLAS requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+                        software-properties-common pciutils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+        fi
+        dpkg -i cuda-keyring_1.1-1_all.deb && \
+            rm -f cuda-keyring_1.1-1_all.deb && \
+            apt-get update && \
+            apt-get install -y --no-install-recommends \
+                cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+                libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
 RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
        apt-get update && \
        apt-get install -y  --no-install-recommends \
-            software-properties-common && \
+            software-properties-common pciutils && \
        curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
        dpkg -i cuda-keyring_1.1-1_all.deb && \
        rm -f cuda-keyring_1.1-1_all.deb && \
        apt-get update && \
        apt-get install -y --no-install-recommends \
            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
@@ -155,13 +189,24 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
 ###################################
 ###################################

+# Temporary workaround for Intel's repository to work correctly
+# https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/APT-Repository-not-working-signatures-invalid/m-p/1599436/highlight/true#M36143
+# This is a temporary workaround until Intel fixes their repository
+FROM ${INTEL_BASE_IMAGE} AS intel
+RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
+gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
+RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
+
+###################################
+###################################
+
 # The grpc target does one thing, it builds and installs GRPC.  This is in it's own layer so that it can be effectively cached by CI.
 # You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
 FROM ${GRPC_BASE_IMAGE} AS grpc

 # This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
 ARG GRPC_MAKEFLAGS="-j4 -Otarget"
-ARG GRPC_VERSION=v1.58.0
+ARG GRPC_VERSION=v1.64.2

 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}

@@ -194,7 +239,7 @@ RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shall
 # Adjustments to the build process should likely be made here.
 FROM requirements-drivers AS builder

-ARG GO_TAGS="stablediffusion tts"
+ARG GO_TAGS="stablediffusion tts p2p"
 ARG GRPC_BACKENDS
 ARG MAKEFLAGS

@@ -216,9 +261,18 @@ RUN make prepare
 # We need protoc installed, and the version in 22.04 is too old.  We will create one as part installing the GRPC build below
 # but that will also being in a newer version of absl which stablediffusion cannot compile with.  This version of protoc is only
 # here so that we can generate the grpc code for the stablediffusion build
-RUN curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
-    unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
-    rm protoc.zip
+RUN <<EOT bash
+    if [ "amd64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+    if [ "arm64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+EOT

 # stablediffusion does not tolerate a newer version of abseil, build it first
 RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
@@ -246,6 +300,7 @@ ARG FFMPEG
 ARG BUILD_TYPE
 ARG TARGETARCH
 ARG IMAGE_TYPE=extras
+ARG EXTRA_BACKENDS
 ARG MAKEFLAGS

 ENV BUILD_TYPE=${BUILD_TYPE}
@@ -253,11 +308,10 @@ ENV REBUILD=false
 ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
 ENV MAKEFLAGS=${MAKEFLAGS}

-ARG CUDA_MAJOR_VERSION=11
+ARG CUDA_MAJOR_VERSION=12
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
 ENV NVIDIA_VISIBLE_DEVICES=all
-ENV PIP_CACHE_PURGE=true

 # Add FFmpeg
 RUN if [ "${FFMPEG}" = "true" ]; then \
@@ -290,51 +344,61 @@ COPY --from=builder /build/sources/go-piper/piper-phonemize/pi/lib/* /usr/lib/
 # do not let stablediffusion rebuild (requires an older version of absl)
 COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion

-## Duplicated from Makefile to avoid having a big layer that's hard to push
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/autogptq \
+# Change the shell to bash so we can use [[ tests below
+SHELL ["/bin/bash", "-c"]
+# We try to strike a balance between individual layer size (as that affects total push time) and total image size
+# Splitting the backends into more groups with fewer items results in a larger image, but a smaller size for the largest layer
+# Splitting the backends into fewer groups with more items results in a smaller image, but a larger size for the largest layer
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/coqui \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "parler-tts" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/parler-tts \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "diffusers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/diffusers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "transformers-musicgen" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/transformers-musicgen \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "exllama1" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/exllama \
    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/bark \
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/vall-e-x \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/openvoice \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/petals \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "sentencetransformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/sentencetransformers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "exllama2" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/exllama2 \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "transformers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/transformers \
    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/diffusers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/vllm \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/mamba \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/sentencetransformers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/rerankers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/transformers \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/vall-e-x \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/exllama \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/exllama2 \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/petals \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/transformers-musicgen \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/parler-tts \
-    ; fi
-RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
-    make -C backend/python/coqui \
+
+RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vllm" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/vllm \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "autogptq" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/autogptq \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "bark" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/bark \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "rerankers" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/rerankers \
+    ; fi && \
+    if [[ ( "${EXTRA_BACKENDS}" =~ "mamba" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
+        make -C backend/python/mamba \
    ; fi

 # Make sure the models directory exists
@@ -343,7 +407,7 @@ RUN mkdir -p /build/models
 # Define the health check command
 HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
  CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
-  
+
 VOLUME /build/models
 EXPOSE 8080
 ENTRYPOINT [ "/build/entrypoint.sh" ]
--- a/191
+++ b/191
@@ -5,7 +5,7 @@ BINARY_NAME=local-ai

 # llama.cpp versions
 GOLLAMA_STABLE_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
-CPPLLAMA_VERSION?=c12452c7aec8a02264afc00196a13caa591a13ac
+CPPLLAMA_VERSION?=e112b610a1a75cb7fa8351e1a933e2e7a755a5ce

 # gpt4all version
 GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
@@ -16,10 +16,10 @@ RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
 RWKV_VERSION?=661e7ae26d442f5cfebd2a0881b44e8c55949ec6

 # whisper.cpp version
-WHISPER_CPP_VERSION?=73d13ad19a8c9c4da4f405088a85169b1a171e66
+WHISPER_CPP_VERSION?=b29b3b29240aac8b71ce8e5a4360c1f1562ad66f

 # bert.cpp version
-BERT_VERSION?=6abe312cded14042f6b7c3cd8edf082713334a4d
+BERT_VERSION?=710044b124545415f555e4260d16b146c725a6e4

 # go-piper version
 PIPER_VERSION?=9d0100873a7dbb0824dfea40e8cec70a1b110759
@@ -38,7 +38,7 @@ CGO_LDFLAGS?=
 CGO_LDFLAGS_WHISPER?=
 CUDA_LIBPATH?=/usr/local/cuda/lib64/
 GO_TAGS?=
-BUILD_ID?=git
+BUILD_ID?=

 TEST_DIR=/tmp/test

@@ -70,7 +70,7 @@ UNAME_S := $(shell uname -s)
 endif

 ifeq ($(OS),Darwin)
-	
+
 	ifeq ($(OSX_SIGNING_IDENTITY),)
 		OSX_SIGNING_IDENTITY := $(shell security find-identity -v -p codesigning | grep '"' | head -n 1 | sed -E 's/.*"(.*)"/\1/')
 	endif
@@ -100,7 +100,11 @@ ifeq ($(BUILD_TYPE),cublas)
 	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
 	export LLAMA_CUBLAS=1
 	export WHISPER_CUDA=1
-	CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda
+	CGO_LDFLAGS_WHISPER+=-L$(CUDA_LIBPATH)/stubs/ -lcuda -lcufft
+endif
+
+ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DLLAMA_VULKAN=1
 endif

 ifeq ($(BUILD_TYPE),hipblas)
@@ -112,7 +116,7 @@ ifeq ($(BUILD_TYPE),hipblas)
 	# llama-ggml has no hipblas support, so override it here.
 	export STABLE_BUILD_TYPE=
 	export WHISPER_HIPBLAS=1
-	GPU_TARGETS ?= gfx900,gfx90a,gfx1030,gfx1031,gfx1100
+	GPU_TARGETS ?= gfx900,gfx906,gfx908,gfx940,gfx941,gfx942,gfx90a,gfx1030,gfx1031,gfx1100,gfx1101
 	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
 	CMAKE_ARGS+=-DLLAMA_HIPBLAS=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
 	CGO_LDFLAGS += -O3 --rtlib=compiler-rt -unwindlib=libgcc -lhipblas -lrocblas --hip-link -L${ROCM_HOME}/lib/llvm/lib
@@ -154,10 +158,12 @@ endif

 ALL_GRPC_BACKENDS=backend-assets/grpc/huggingface
 ALL_GRPC_BACKENDS+=backend-assets/grpc/bert-embeddings
-ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp
-ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-noavx
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-avx2
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-fallback
 ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-ggml
+ALL_GRPC_BACKENDS+=backend-assets/grpc/llama-cpp-grpc
+ALL_GRPC_BACKENDS+=backend-assets/util/llama-cpp-rpc-server
 ALL_GRPC_BACKENDS+=backend-assets/grpc/gpt4all
 ALL_GRPC_BACKENDS+=backend-assets/grpc/rwkv
 ALL_GRPC_BACKENDS+=backend-assets/grpc/whisper
@@ -311,21 +317,53 @@ build: prepare backend-assets grpcs ## Build the project
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
 	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
 	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
+ifneq ($(BACKEND_LIBS),)
+	$(MAKE) backend-assets/lib
+	cp $(BACKEND_LIBS) backend-assets/lib/
+endif
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./

 build-minimal:
-	BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp" GO_TAGS=none $(MAKE) build
+	BUILD_GRPC_FOR_BACKEND_LLAMA=true GRPC_BACKENDS="backend-assets/grpc/llama-cpp-avx2" GO_TAGS=none $(MAKE) build

 build-api:
 	BUILD_GRPC_FOR_BACKEND_LLAMA=true BUILD_API_ONLY=true GO_TAGS=none $(MAKE) build

-dist: build
+backend-assets/lib:
+	mkdir -p backend-assets/lib
+
+dist:
+	$(MAKE) backend-assets/grpc/llama-cpp-avx2
+ifeq ($(OS),Darwin)
+	$(info ${GREEN}I Skip CUDA/hipblas build on MacOS${RESET})
+else
+	$(MAKE) backend-assets/grpc/llama-cpp-cuda
+	$(MAKE) backend-assets/grpc/llama-cpp-hipblas
+	$(MAKE) backend-assets/grpc/llama-cpp-sycl_f16
+	$(MAKE) backend-assets/grpc/llama-cpp-sycl_f32
+endif
+	STATIC=true $(MAKE) build
 	mkdir -p release
 # if BUILD_ID is empty, then we don't append it to the binary name
 ifeq ($(BUILD_ID),)
 	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(OS)-$(ARCH)
+	shasum -a 256 release/$(BINARY_NAME)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(OS)-$(ARCH).sha256
 else
 	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH)
+	shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH) > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH).sha256
+endif
+
+dist-cross-linux-arm64: 
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_NATIVE=off" GRPC_BACKENDS="backend-assets/grpc/llama-cpp-fallback backend-assets/grpc/llama-cpp-grpc backend-assets/util/llama-cpp-rpc-server" \
+	STATIC=true $(MAKE) build
+	mkdir -p release
+# if BUILD_ID is empty, then we don't append it to the binary name
+ifeq ($(BUILD_ID),)
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(OS)-arm64
+	shasum -a 256 release/$(BINARY_NAME)-$(OS)-arm64 > release/$(BINARY_NAME)-$(OS)-arm64.sha256
+else
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64
+	shasum -a 256 release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64 > release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-arm64.sha256
 endif

 osx-signed: build
@@ -366,7 +404,7 @@ prepare-e2e:
 	mkdir -p $(TEST_DIR)
 	cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
 	test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
-	docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=11 --build-arg CUDA_MINOR_VERSION=7 --build-arg FFMPEG=true -t localai-tests .
+	docker build --build-arg GRPC_BACKENDS="$(GRPC_BACKENDS)" --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=5 --build-arg FFMPEG=true -t localai-tests .

 run-e2e-image:
 	ls -liah $(abspath ./tests/e2e-fixtures)
@@ -436,7 +474,7 @@ protogen-clean: protogen-go-clean protogen-python-clean
 .PHONY: protogen-go
 protogen-go:
 	mkdir -p pkg/grpc/proto
-	protoc -Ibackend/ --go_out=pkg/grpc/proto/ --go_opt=paths=source_relative --go-grpc_out=pkg/grpc/proto/ --go-grpc_opt=paths=source_relative \
+	protoc --experimental_allow_proto3_optional -Ibackend/ --go_out=pkg/grpc/proto/ --go_opt=paths=source_relative --go-grpc_out=pkg/grpc/proto/ --go-grpc_opt=paths=source_relative \
    backend/backend.proto

 .PHONY: protogen-go-clean
@@ -445,10 +483,10 @@ protogen-go-clean:
 	$(RM) bin/*

 .PHONY: protogen-python
-protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen
+protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen

 .PHONY: protogen-python-clean
-protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean
+protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean openvoice-protogen-clean

 .PHONY: autogptq-protogen
 autogptq-protogen:
@@ -562,6 +600,14 @@ vall-e-x-protogen:
 vall-e-x-protogen-clean:
 	$(MAKE) -C backend/python/vall-e-x protogen-clean

+.PHONY: openvoice-protogen
+openvoice-protogen:
+	$(MAKE) -C backend/python/openvoice protogen
+
+.PHONY: openvoice-protogen-clean
+openvoice-protogen-clean:
+	$(MAKE) -C backend/python/openvoice protogen-clean
+
 .PHONY: vllm-protogen
 vllm-protogen:
 	$(MAKE) -C backend/python/vllm protogen
@@ -585,6 +631,7 @@ prepare-extra-conda-environments: protogen-python
 	$(MAKE) -C backend/python/transformers-musicgen
 	$(MAKE) -C backend/python/parler-tts
 	$(MAKE) -C backend/python/vall-e-x
+	$(MAKE) -C backend/python/openvoice
 	$(MAKE) -C backend/python/exllama
 	$(MAKE) -C backend/python/petals
 	$(MAKE) -C backend/python/exllama2
@@ -652,30 +699,77 @@ else
 	LLAMA_VERSION=$(CPPLLAMA_VERSION) $(MAKE) -C backend/cpp/${VARIANT} grpc-server
 endif

+# This target is for manually building a variant with-auto detected flags
 backend-assets/grpc/llama-cpp: backend-assets/grpc
-	$(info ${GREEN}I llama-cpp build info:standard${RESET})
-	cp -rf backend/cpp/llama backend/cpp/llama-default
-	$(MAKE) -C backend/cpp/llama-default purge
-	$(MAKE) VARIANT="llama-default" build-llama-cpp-grpc-server
-	cp -rfv backend/cpp/llama-default/grpc-server backend-assets/grpc/llama-cpp
-# TODO: every binary should have its own folder instead, so can have different metal implementations
-ifeq ($(BUILD_TYPE),metal)
-	cp backend/cpp/llama-default/llama.cpp/build/bin/default.metallib backend-assets/grpc/
-endif
+	cp -rf backend/cpp/llama backend/cpp/llama-cpp
+	$(MAKE) -C backend/cpp/llama-cpp purge
+	$(info ${GREEN}I llama-cpp build info:avx2${RESET})
+	$(MAKE) VARIANT="llama-cpp" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-cpp/grpc-server backend-assets/grpc/llama-cpp

-backend-assets/grpc/llama-cpp-noavx: backend-assets/grpc
-	cp -rf backend/cpp/llama backend/cpp/llama-noavx
-	$(MAKE) -C backend/cpp/llama-noavx purge
-	$(info ${GREEN}I llama-cpp build info:noavx${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF" $(MAKE) VARIANT="llama-noavx" build-llama-cpp-grpc-server
-	cp -rfv backend/cpp/llama-noavx/grpc-server backend-assets/grpc/llama-cpp-noavx
+backend-assets/grpc/llama-cpp-avx2: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-avx2
+	$(MAKE) -C backend/cpp/llama-avx2 purge
+	$(info ${GREEN}I llama-cpp build info:avx2${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_AVX512=off -DLLAMA_FMA=on -DLLAMA_F16C=on" $(MAKE) VARIANT="llama-avx2" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-avx2/grpc-server backend-assets/grpc/llama-cpp-avx2
+
+backend-assets/grpc/llama-cpp-avx: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-avx
+	$(MAKE) -C backend/cpp/llama-avx purge
+	$(info ${GREEN}I llama-cpp build info:avx${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-avx" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-avx/grpc-server backend-assets/grpc/llama-cpp-avx

 backend-assets/grpc/llama-cpp-fallback: backend-assets/grpc
 	cp -rf backend/cpp/llama backend/cpp/llama-fallback
 	$(MAKE) -C backend/cpp/llama-fallback purge
 	$(info ${GREEN}I llama-cpp build info:fallback${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-fallback" build-llama-cpp-grpc-server
 	cp -rfv backend/cpp/llama-fallback/grpc-server backend-assets/grpc/llama-cpp-fallback
+# TODO: every binary should have its own folder instead, so can have different metal implementations
+ifeq ($(BUILD_TYPE),metal)
+	cp backend/cpp/llama-fallback/llama.cpp/build/bin/default.metallib backend-assets/grpc/
+endif
+
+backend-assets/grpc/llama-cpp-cuda: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-cuda
+	$(MAKE) -C backend/cpp/llama-cuda purge
+	$(info ${GREEN}I llama-cpp build info:cuda${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_AVX=on -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off -DLLAMA_CUDA=ON" $(MAKE) VARIANT="llama-cuda" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-cuda/grpc-server backend-assets/grpc/llama-cpp-cuda
+
+backend-assets/grpc/llama-cpp-hipblas: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-hipblas
+	$(MAKE) -C backend/cpp/llama-hipblas purge
+	$(info ${GREEN}I llama-cpp build info:hipblas${RESET})
+	BUILD_TYPE="hipblas" $(MAKE) VARIANT="llama-hipblas" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-hipblas/grpc-server backend-assets/grpc/llama-cpp-hipblas
+
+backend-assets/grpc/llama-cpp-sycl_f16: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-sycl_f16
+	$(MAKE) -C backend/cpp/llama-sycl_f16 purge
+	$(info ${GREEN}I llama-cpp build info:sycl_f16${RESET})
+	BUILD_TYPE="sycl_f16" $(MAKE) VARIANT="llama-sycl_f16" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-sycl_f16/grpc-server backend-assets/grpc/llama-cpp-sycl_f16
+
+backend-assets/grpc/llama-cpp-sycl_f32: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-sycl_f32
+	$(MAKE) -C backend/cpp/llama-sycl_f32 purge
+	$(info ${GREEN}I llama-cpp build info:sycl_f32${RESET})
+	BUILD_TYPE="sycl_f32" $(MAKE) VARIANT="llama-sycl_f32" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-sycl_f32/grpc-server backend-assets/grpc/llama-cpp-sycl_f32
+
+backend-assets/grpc/llama-cpp-grpc: backend-assets/grpc
+	cp -rf backend/cpp/llama backend/cpp/llama-grpc
+	$(MAKE) -C backend/cpp/llama-grpc purge
+	$(info ${GREEN}I llama-cpp build info:grpc${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DLLAMA_RPC=ON -DLLAMA_AVX=off -DLLAMA_AVX2=off -DLLAMA_AVX512=off -DLLAMA_FMA=off -DLLAMA_F16C=off" $(MAKE) VARIANT="llama-grpc" build-llama-cpp-grpc-server
+	cp -rfv backend/cpp/llama-grpc/grpc-server backend-assets/grpc/llama-cpp-grpc
+
+backend-assets/util/llama-cpp-rpc-server: backend-assets/grpc/llama-cpp-grpc
+	mkdir -p backend-assets/util/
+	cp -rf backend/cpp/llama-grpc/llama.cpp/build/bin/rpc-server backend-assets/util/llama-cpp-rpc-server

 backend-assets/grpc/llama-ggml: sources/go-llama.cpp sources/go-llama.cpp/libbinding.a backend-assets/grpc
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/sources/go-llama.cpp LIBRARY_PATH=$(CURDIR)/sources/go-llama.cpp \
@@ -719,7 +813,18 @@ docker:
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
 		-t $(DOCKER_IMAGE) .
-	
+
+docker-cuda11:
+	docker build \
+		--build-arg CUDA_MAJOR_VERSION=11 \
+		--build-arg CUDA_MINOR_VERSION=8 \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
+		--build-arg GO_TAGS="$(GO_TAGS)" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
+		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		-t $(DOCKER_IMAGE)-cuda11 .
+
 docker-aio:
 	@echo "Building AIO image with base $(BASE_IMAGE) as $(DOCKER_AIO_IMAGE)"
 	docker build \
@@ -750,3 +855,25 @@ docker-image-intel-xpu:
 .PHONY: swagger
 swagger:
 	swag init -g core/http/app.go --output swagger
+
+.PHONY: gen-assets
+gen-assets:
+	$(GOCMD) run core/dependencies_manager/manager.go embedded/webui_static.yaml core/http/static/assets
+
+## Documentation
+docs/layouts/_default: 
+	mkdir -p docs/layouts/_default
+
+docs/static/gallery.html: docs/layouts/_default
+	$(GOCMD) run ./.github/ci/modelslist.go ./gallery/index.yaml > docs/static/gallery.html
+
+docs/public: docs/layouts/_default docs/static/gallery.html
+	cd docs && hugo --minify
+
+docs-clean:
+	rm -rf docs/public
+	rm -rf docs/static/gallery.html
+
+.PHONY: docs
+docs: docs/static/gallery.html
+	cd docs && hugo serve
--- a/README.md
+++ b/README.md
@@ -46,18 +46,39 @@

 **LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).

+![screen](https://github.com/mudler/LocalAI/assets/2420543/20b5ccd2-8393-44f0-aaf6-87a23806381e)
+
+Run the installer script:
+
+```bash
+curl https://localai.io/install.sh | sh
+```
+
+Or run with docker:
+```bash
+docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
+# Alternative images:
+# - if you have an Nvidia GPU:
+# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-12
+# - without preconfigured models
+# docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
+# - without preconfigured models for Nvidia GPUs
+# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12 
+```
+
+[💻 Getting started](https://localai.io/basics/getting_started/index.html)
+
 ## 🔥🔥 Hot topics / Roadmap

 [Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)

+- 🆕 You can browse now the model gallery without LocalAI! Check out https://models.localai.io
+- 🔥🔥 Decentralized llama.cpp:  https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs  https://localai.io/features/distribute/
+- 🔥🔥 Openvoice: https://github.com/mudler/LocalAI/pull/2334
+- 🆕 Function calls without grammars and mixed mode: https://github.com/mudler/LocalAI/pull/2328
+- 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
 - Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
 - Reranker API: https://github.com/mudler/LocalAI/pull/2121
- Gallery WebUI: https://github.com/mudler/LocalAI/pull/2104
- llama3: https://github.com/mudler/LocalAI/discussions/2076
- Parler-TTS: https://github.com/mudler/LocalAI/pull/2027
- Openvino support: https://github.com/mudler/LocalAI/pull/1892
- Vector store: https://github.com/mudler/LocalAI/pull/1795
- All-in-one container image: https://github.com/mudler/LocalAI/issues/1855

 Hot topics (looking for contributors):

@@ -70,30 +91,19 @@ Hot topics (looking for contributors):

 If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22

-## 💻 [Getting started](https://localai.io/basics/getting_started/index.html)
-
-For a detailed step-by-step introduction, refer to the [Getting Started](https://localai.io/basics/getting_started/index.html) guide. 
-
-For those in a hurry, here's a straightforward one-liner to launch a LocalAI AIO(All-in-one) Image using `docker`:
-
-```bash
-docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
-# or, if you have an Nvidia GPU:
-# docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-12
-```
-
 ## 🚀 [Features](https://localai.io/features/)

 - 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `gpt4all.cpp`, ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
 - 🗣 [Text to Audio](https://localai.io/features/text-to-audio/)
 - 🔈 [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
 - 🎨 [Image generation with stable diffusion](https://localai.io/features/image-generation)
- 🔥 [OpenAI functions](https://localai.io/features/openai-functions/) 🆕
+- 🔥 [OpenAI-alike tools API](https://localai.io/features/openai-functions/) 
 - 🧠 [Embeddings generation for vector databases](https://localai.io/features/embeddings/)
 - ✍️ [Constrained grammars](https://localai.io/features/constrained_grammars/)
 - 🖼️ [Download Models directly from Huggingface ](https://localai.io/models/)
 - 🥽 [Vision API](https://localai.io/features/gpt-vision/)
- 🆕 [Reranker API](https://localai.io/features/reranker/)
+- 📈 [Reranker API](https://localai.io/features/reranker/)
+- 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)

 ## 💻 Usage

@@ -107,6 +117,7 @@ Build and deploy custom containers:
 WebUIs:
 - https://github.com/Jirubizu/localai-admin
 - https://github.com/go-skynet/LocalAI-frontend
+- QA-Pilot(An interactive chat project that leverages LocalAI LLMs for rapid understanding and navigation of GitHub code repository) https://github.com/reid41/QA-Pilot

 Model galleries
 - https://github.com/go-skynet/model-gallery
@@ -116,16 +127,17 @@ Other:
 - VSCode extension https://github.com/badgooooor/localai-vscode-plugin
 - Terminal utility https://github.com/djcopley/ShellOracle
 - Local Smart assistant https://github.com/mudler/LocalAGI
- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation
+- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation / https://github.com/valentinfrlch/ha-gpt4vision
 - Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
 - Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
+- Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
 - Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
 - Examples: https://github.com/mudler/LocalAI/tree/master/examples/
  

 ### 🔗 Resources

- 🆕 New! [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
+- [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
 - [How to build locally](https://localai.io/basics/build/index.html)
 - [How to install in Kubernetes](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes)
 - [Projects integrating LocalAI](https://localai.io/docs/integrations/)
@@ -133,6 +145,7 @@ Other:

 ## :book: 🎥 [Media, Blogs, Social](https://localai.io/basics/news/#media-blogs-social)

+- 🆕 [Run LocalAI on Jetson Nano Devkit](https://mudler.pm/posts/local-ai-jetson-nano-devkit/)
 - [Run LocalAI on AWS EKS with Pulumi](https://www.pulumi.com/blog/low-code-llm-apps-with-local-ai-flowise-and-pulumi/)
 - [Run LocalAI on AWS](https://staleks.hashnode.dev/installing-localai-on-aws-ec2-instance)
 - [Create a slackbot for teams and OSS projects that answer to documentation](https://mudler.pm/posts/smart-slackbot-for-teams/)
@@ -160,17 +173,16 @@ If you utilize this repository, data in a downstream project, please consider ci

 Support the project by becoming [a backer or sponsor](https://github.com/sponsors/mudler). Your logo will show up here with a link to your website.

-A huge thank you to our generous sponsors who support this project:
+A huge thank you to our generous sponsors who support this project covering CI expenses, and our [Sponsor list](https://github.com/sponsors/mudler):

-| ![Spectro Cloud logo_600x600px_transparent bg](https://github.com/go-skynet/LocalAI/assets/2420543/68a6f3cb-8a65-4a4d-99b5-6417a8905512) |
-|:-----------------------------------------------:|
-|  [Spectro Cloud](https://www.spectrocloud.com/)  |
-|  Spectro Cloud kindly supports LocalAI by providing GPU and computing resources to run tests on lamdalabs!  |
-
-And a huge shout-out to individuals sponsoring the project by donating hardware or backing the project.
-
- [Sponsor list](https://github.com/sponsors/mudler)
- JDAM00 (donating HW for the CI)
+<p align="center">
+  <a href="https://www.spectrocloud.com/" target="blank">
+    <img height="200" src="https://github.com/go-skynet/LocalAI/assets/2420543/68a6f3cb-8a65-4a4d-99b5-6417a8905512">
+  </a>
+  <a href="https://www.premai.io/" target="blank">
+    <img height="200" src="https://github.com/mudler/LocalAI/assets/2420543/42e4ca83-661e-4f79-8e46-ae43689683d6"> <br>
+  </a>
+</p>

 ## 🌟 Star history

@@ -180,7 +192,7 @@ And a huge shout-out to individuals sponsoring the project by donating hardware

 LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).

-MIT - Author Ettore Di Giacinto
+MIT - Author Ettore Di Giacinto <mudler@localai.io>

 ## 🙇 Acknowledgements

--- a/aio/cpu/text-to-text.yaml
+++ b/aio/cpu/text-to-text.yaml
@@ -2,8 +2,63 @@ name: gpt-4
 mmap: true
 parameters:
  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
+context_size: 8192
+
+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""

 template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
  chat_message: |
    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
    {{- if .FunctionCall }}
@@ -22,38 +77,25 @@ template:
    {{- else if eq .RoleName "tool" }}
    </tool_response>
    {{- end }}<|im_end|>
-  # https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
-  function: |
+  completion: |
+    {{.Input}}
+  function: |-
    <|im_start|>system
-    You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    You are a function calling AI model.
+    Here are the available tools:
    <tools>
    {{range .Functions}}
    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
    {{end}}
    </tools>
-    Use the following pydantic model json schema for each tool call you will make:
-    {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
-    For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
    <tool_call>
-    {'arguments': <args-dict>, 'name': <function-name>}
+    {"arguments": <args-dict>, "name": <function-name>}
    </tool_call><|im_end|>
    {{.Input -}}
    <|im_start|>assistant
-    <tool_call>
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
- <|im_end|>
- <dummy32000>
- "\n</tool_call>"
- "\n\n\n"
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "gpt-4",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'
--- a/aio/gpu-8g/text-to-text.yaml
+++ b/aio/gpu-8g/text-to-text.yaml
@@ -2,8 +2,63 @@ name: gpt-4
 mmap: true
 parameters:
  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
+context_size: 8192
+
+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""

 template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
  chat_message: |
    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
    {{- if .FunctionCall }}
@@ -22,38 +77,25 @@ template:
    {{- else if eq .RoleName "tool" }}
    </tool_response>
    {{- end }}<|im_end|>
-  # https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
-  function: |
+  completion: |
+    {{.Input}}
+  function: |-
    <|im_start|>system
-    You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    You are a function calling AI model.
+    Here are the available tools:
    <tools>
    {{range .Functions}}
    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
    {{end}}
    </tools>
-    Use the following pydantic model json schema for each tool call you will make:
-    {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
-    For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
    <tool_call>
-    {'arguments': <args-dict>, 'name': <function-name>}
+    {"arguments": <args-dict>, "name": <function-name>}
    </tool_call><|im_end|>
    {{.Input -}}
-    <|im_start|>assistant
-    <tool_call>
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
- <|im_end|>
- <dummy32000>
- "\n</tool_call>"
- "\n\n\n"
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "gpt-4",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'
+    <|im_start|>assistant
--- a/aio/intel/text-to-text.yaml
+++ b/aio/intel/text-to-text.yaml
@@ -1,10 +1,66 @@
 name: gpt-4
 mmap: false
+context_size: 8192
+
 f16: false
 parameters:
  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf

+stopwords:
+- "<|im_end|>"
+- "<dummy32000>"
+- "</tool_call>"
+- "<|eot_id|>"
+- "<|end_of_text|>"
+
+function:
+  # disable injecting the "answer" tool
+  disable_no_action: true
+
+  grammar:
+    # This allows the grammar to also return messages
+    mixed_mode: true
+    # Suffix to add to the grammar
+    #prefix: '<tool_call>\n'
+    # Force parallel calls in the grammar
+    # parallel_calls: true
+
+  return_name_in_function_response: true
+  # Without grammar uncomment the lines below
+  # Warning: this is relying only on the capability of the
+  # LLM model to generate the correct function call.
+  json_regex_match: 
+   - "(?s)<tool_call>(.*?)</tool_call>"
+   - "(?s)<tool_call>(.*?)"
+  replace_llm_results:
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+  replace_function_results: 
+  # Replace everything that is not JSON array or object
+  # 
+  - key: '(?s)^[^{\[]*'
+    value: ""
+  - key: '(?s)[^}\]]*$'
+    value: ""
+  - key: "'([^']*?)'"
+    value: "_DQUOTE_${1}_DQUOTE_"
+  - key: '\\"'
+    value: "__TEMP_QUOTE__"
+  - key: "\'"
+    value: "'"
+  - key: "_DQUOTE_"
+    value: '"'
+  - key: "__TEMP_QUOTE__"
+    value: '"'
+  # Drop the scratchpad content from responses
+  - key: "(?s)<scratchpad>.*</scratchpad>"
+    value: ""
+
 template:
+  chat: |
+    {{.Input -}}
+    <|im_start|>assistant
  chat_message: |
    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
    {{- if .FunctionCall }}
@@ -23,37 +79,25 @@ template:
    {{- else if eq .RoleName "tool" }}
    </tool_response>
    {{- end }}<|im_end|>
-  # https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
-  function: |
+  completion: |
+    {{.Input}}
+  function: |-
    <|im_start|>system
-    You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    You are a function calling AI model.
+    Here are the available tools:
    <tools>
    {{range .Functions}}
    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
    {{end}}
    </tools>
-    Use the following pydantic model json schema for each tool call you will make:
-    {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
-    For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+    You should call the tools provided to you sequentially
+    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
+    <scratchpad>
+    {step-by-step reasoning and plan in bullet points}
+    </scratchpad>
+    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
    <tool_call>
-    {'arguments': <args-dict>, 'name': <function-name>}
+    {"arguments": <args-dict>, "name": <function-name>}
    </tool_call><|im_end|>
    {{.Input -}}
    <|im_start|>assistant
-    <tool_call>
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-stopwords:
- <|im_end|>
- "\n</tool_call>"
- <dummy32000>
- "\n\n\n"
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "gpt-4",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'
--- a/backend/backend.proto
+++ b/backend/backend.proto
@@ -212,6 +212,9 @@ message ModelOptions {
  float YarnBetaSlow = 47;

  string Type = 49;
+
+  bool FlashAttention = 56;
+  bool NoKVOffload = 57;
 }

 message Result {
@@ -227,6 +230,7 @@ message TranscriptRequest {
  string dst = 2;
  string language = 3;
  uint32 threads = 4;
+  bool translate = 5;
 }

 message TranscriptResult {
@@ -263,6 +267,7 @@ message TTSRequest {
  string model = 2;
  string dst = 3;
  string voice = 4;
+  optional string language = 5;
 }

 message TokenizationResponse {
--- a/backend/cpp/llama/Makefile
+++ b/backend/cpp/llama/Makefile
@@ -62,8 +62,8 @@ grpc-server: llama.cpp llama.cpp/examples/grpc-server
 	@echo "Building grpc-server with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
 ifneq (,$(findstring sycl,$(BUILD_TYPE)))
 	bash -c "source $(ONEAPI_VARS); \
-	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release"	
+	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && $(MAKE)"
 else
-	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release
+	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && $(MAKE)
 endif
 	cp llama.cpp/build/bin/grpc-server .
--- a/backend/cpp/llama/grpc-server.cpp
+++ b/backend/cpp/llama/grpc-server.cpp
@@ -791,7 +791,7 @@ struct llama_server_context
                    sampler_names.emplace_back(sampler_name);
                }
            }
-            slot->sparams.samplers_sequence = sampler_types_from_names(sampler_names, false);
+            slot->sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, false);
        }
        else
        {
@@ -1146,7 +1146,7 @@ struct llama_server_context
        std::vector<std::string> samplers_sequence;
        for (const auto &sampler_type : slot.sparams.samplers_sequence)
        {
-            samplers_sequence.emplace_back(sampler_type_to_name_string(sampler_type));
+            samplers_sequence.emplace_back(llama_sampling_type_to_str(sampler_type));
        }

        return json {
@@ -2217,6 +2217,12 @@ static void params_parse(const backend::ModelOptions* request,
    } else {
        params.n_parallel = 1;
    }
+
+    const char *llama_grpc_servers = std::getenv("LLAMACPP_GRPC_SERVERS");
+    if (llama_grpc_servers != NULL) {
+        params.rpc_servers = std::string(llama_grpc_servers);
+    }
+    
    // TODO: Add yarn

    if (!request->tensorsplit().empty()) {
@@ -2254,6 +2260,9 @@ static void params_parse(const backend::ModelOptions* request,
    }
    params.use_mlock = request->mlock();
    params.use_mmap = request->mmap();
+    params.flash_attn = request->flashattention();
+    params.no_kv_offload = request->nokvoffload();
+
    params.embedding = request->embeddings();

    if (request->ropescaling() == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_NONE; }
--- a/backend/go/image/stablediffusion/main.go
+++ b/backend/go/image/stablediffusion/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/image/stablediffusion/stablediffusion.go
+++ b/backend/go/image/stablediffusion/stablediffusion.go
@@ -3,9 +3,9 @@ package main
 // This is a wrapper to statisfy the GRPC service interface
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/stablediffusion"
 )

 type Image struct {
--- a/backend/go/image/tinydream/main.go
+++ b/backend/go/image/tinydream/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/image/tinydream/tinydream.go
+++ b/backend/go/image/tinydream/tinydream.go
@@ -3,9 +3,9 @@ package main
 // This is a wrapper to statisfy the GRPC service interface
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/tinydream"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/tinydream"
 )

 type Image struct {
--- a/backend/go/llm/bert/bert.go
+++ b/backend/go/llm/bert/bert.go
@@ -5,8 +5,8 @@ package main
 import (
 	bert "github.com/go-skynet/go-bert.cpp"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )

 type Embeddings struct {
--- a/backend/go/llm/bert/main.go
+++ b/backend/go/llm/bert/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/gpt4all/gpt4all.go
+++ b/backend/go/llm/gpt4all/gpt4all.go
@@ -5,8 +5,8 @@ package main
 import (
 	"fmt"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
 )

--- a/backend/go/llm/gpt4all/main.go
+++ b/backend/go/llm/gpt4all/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/langchain/langchain.go
+++ b/backend/go/llm/langchain/langchain.go
@@ -6,9 +6,9 @@ import (
 	"fmt"
 	"os"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
-	"github.com/go-skynet/LocalAI/pkg/langchain"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/langchain"
 )

 type LLM struct {
--- a/backend/go/llm/langchain/main.go
+++ b/backend/go/llm/langchain/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/llama-ggml/llama.go
+++ b/backend/go/llm/llama-ggml/llama.go
@@ -5,9 +5,9 @@ package main
 import (
 	"fmt"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
 	"github.com/go-skynet/go-llama.cpp"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )

 type LLM struct {
--- a/backend/go/llm/llama-ggml/main.go
+++ b/backend/go/llm/llama-ggml/main.go
@@ -3,7 +3,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/llama/llama.go
+++ b/backend/go/llm/llama/llama.go
@@ -6,9 +6,9 @@ import (
 	"fmt"
 	"path/filepath"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
 	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
 	"github.com/go-skynet/go-llama.cpp"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
 )

 type LLM struct {
--- a/backend/go/llm/llama/main.go
+++ b/backend/go/llm/llama/main.go
@@ -7,7 +7,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/rwkv/main.go
+++ b/backend/go/llm/rwkv/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/llm/rwkv/rwkv.go
+++ b/backend/go/llm/rwkv/rwkv.go
@@ -7,8 +7,8 @@ import (
 	"path/filepath"

 	"github.com/donomii/go-rwkv.cpp"
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )

 const tokenizerSuffix = ".tokenizer.json"
@@ -31,7 +31,7 @@ func (llm *LLM) Load(opts *pb.ModelOptions) error {
 	model := rwkv.LoadFiles(opts.ModelFile, tokenizerPath, uint32(opts.GetThreads()))

 	if model == nil {
-		return fmt.Errorf("could not load model")
+		return fmt.Errorf("rwkv could not load model")
 	}
 	llm.rwkv = model
 	return nil
--- a/backend/go/stores/main.go
+++ b/backend/go/stores/main.go
@@ -6,7 +6,7 @@ import (
 	"flag"
 	"os"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 	"github.com/rs/zerolog"
 	"github.com/rs/zerolog/log"
 )
--- a/backend/go/stores/store.go
+++ b/backend/go/stores/store.go
@@ -8,8 +8,8 @@ import (
 	"math"
 	"slices"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"

 	"github.com/rs/zerolog/log"
 )
--- a/backend/go/transcribe/main.go
+++ b/backend/go/transcribe/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/transcribe/transcript.go
+++ b/backend/go/transcribe/transcript.go
@@ -8,7 +8,7 @@ import (

 	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
 	"github.com/go-audio/wav"
-	"github.com/go-skynet/LocalAI/core/schema"
+	"github.com/mudler/LocalAI/core/schema"
 )

 func ffmpegCommand(args []string) (string, error) {
@@ -29,7 +29,7 @@ func audioToWav(src, dst string) error {
 	return nil
 }

-func Transcript(model whisper.Model, audiopath, language string, threads uint) (schema.TranscriptionResult, error) {
+func Transcript(model whisper.Model, audiopath, language string, translate bool, threads uint) (schema.TranscriptionResult, error) {
 	res := schema.TranscriptionResult{}

 	dir, err := os.MkdirTemp("", "whisper")
@@ -75,6 +75,10 @@ func Transcript(model whisper.Model, audiopath, language string, threads uint) (
 		context.SetLanguage("auto")
 	}

+	if translate {
+		context.SetTranslate(true)
+	}
+
 	if err := context.Process(data, nil, nil); err != nil {
 		return res, err
 	}
--- a/backend/go/transcribe/whisper.go
+++ b/backend/go/transcribe/whisper.go
@@ -4,9 +4,9 @@ package main
 // It is meant to be used by the main executable that is the server for the specific backend type (falcon, gpt3, etc)
 import (
 	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
-	"github.com/go-skynet/LocalAI/core/schema"
-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/core/schema"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 )

 type Whisper struct {
@@ -22,5 +22,5 @@ func (sd *Whisper) Load(opts *pb.ModelOptions) error {
 }

 func (sd *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (schema.TranscriptionResult, error) {
-	return Transcript(sd.whisper, opts.Dst, opts.Language, uint(opts.Threads))
+	return Transcript(sd.whisper, opts.Dst, opts.Language, opts.Translate, uint(opts.Threads))
 }
--- a/backend/go/tts/main.go
+++ b/backend/go/tts/main.go
@@ -5,7 +5,7 @@ package main
 import (
 	"flag"

-	grpc "github.com/go-skynet/LocalAI/pkg/grpc"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
 )

 var (
--- a/backend/go/tts/piper.go
+++ b/backend/go/tts/piper.go
@@ -7,8 +7,8 @@ import (
 	"os"
 	"path/filepath"

-	"github.com/go-skynet/LocalAI/pkg/grpc/base"
-	pb "github.com/go-skynet/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 	piper "github.com/mudler/go-piper"
 )

--- a/backend/python/autogptq/Makefile
+++ b/backend/python/autogptq/Makefile
@@ -1,6 +1,6 @@
 .PHONY: autogptq
 autogptq: protogen
-	$(MAKE) -C ../common-env/transformers
+	bash install.sh

 .PHONY: protogen
 protogen: backend_pb2_grpc.py backend_pb2.py
@@ -10,4 +10,8 @@ protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

 backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/autogptq/autogptq.yml
+++ b/backend/python/autogptq/autogptq.yml
@@ -1,93 +0,0 @@
-####
-# Attention! This file is abandoned. 
-# Please use the ../common-env/transformers/transformers.yml file to manage dependencies.
-###
-name: autogptq
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - accelerate==0.27.0
-      - aiohttp==3.8.5
-      - aiosignal==1.3.1
-      - async-timeout==4.0.3
-      - attrs==23.1.0
-      - auto-gptq==0.7.1
-      - certifi==2023.7.22
-      - charset-normalizer==3.3.0
-      - datasets==2.14.5
-      - dill==0.3.7
-      - filelock==3.12.4
-      - frozenlist==1.4.0
-      - fsspec==2023.6.0
-      - grpcio==1.63.0
-      - huggingface-hub==0.16.4
-      - idna==3.4
-      - jinja2==3.1.2
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - multidict==6.0.4
-      - multiprocess==0.70.15
-      - networkx==3.1
-      - numpy==1.26.0
-      - nvidia-cublas-cu12==12.1.3.1
-      - nvidia-cuda-cupti-cu12==12.1.105
-      - nvidia-cuda-nvrtc-cu12==12.1.105
-      - nvidia-cuda-runtime-cu12==12.1.105
-      - nvidia-cudnn-cu12==8.9.2.26
-      - nvidia-cufft-cu12==11.0.2.54
-      - nvidia-curand-cu12==10.3.2.106
-      - nvidia-cusolver-cu12==11.4.5.107
-      - nvidia-cusparse-cu12==12.1.0.106
-      - nvidia-nccl-cu12==2.18.1
-      - nvidia-nvjitlink-cu12==12.2.140
-      - nvidia-nvtx-cu12==12.1.105
-      - optimum==1.17.1
-      - packaging==23.2
-      - pandas==2.1.1
-      - peft==0.5.0
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyarrow==13.0.0
-      - python-dateutil==2.8.2
-      - pytz==2023.3.post1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - rouge==1.0.1
-      - safetensors>=0.3.3
-      - six==1.16.0
-      - sympy==1.12
-      - tokenizers==0.14.0
-      - tqdm==4.66.1
-      - torch==2.2.1
-      - torchvision==0.17.1
-      - transformers==4.34.0
-      - transformers_stream_generator==0.0.5
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - tzdata==2023.3
-      - urllib3==2.0.6
-      - xxhash==3.4.1
-      - yarl==1.9.2
--- a/backend/python/autogptq/autogptq.py
+++ b/backend/python/autogptq/autogptq.py
--- a/backend/python/autogptq/install.sh
+++ b/backend/python/autogptq/install.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+fi
+
+installRequirements
--- a/backend/python/autogptq/requirements-hipblas.txt
+++ b/backend/python/autogptq/requirements-hipblas.txt
@@ -0,0 +1,2 @@
+--extra-index-url https://download.pytorch.org/whl/rocm6.0
+torch
--- a/backend/python/autogptq/requirements-intel.txt
+++ b/backend/python/autogptq/requirements-intel.txt
@@ -0,0 +1,5 @@
+--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch
+torch
+optimum[openvino]
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/autogptq/requirements.txt
+++ b/backend/python/autogptq/requirements.txt
@@ -0,0 +1,7 @@
+accelerate
+auto-gptq==0.7.1
+grpcio==1.64.0
+protobuf
+torch
+certifi
+transformers
--- a/backend/python/autogptq/run.sh
+++ b/backend/python/autogptq/run.sh
@@ -1,14 +1,4 @@
 #!/bin/bash
+source $(dirname $0)/../common/libbackend.sh

-##
-## A bash script wrapper that runs the autogptq server with conda
-
-export PATH=$PATH:/opt/conda/bin
-
-# Activate conda environment
-source activate transformers
-
-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python $DIR/autogptq.py $@
+startBackend $@
--- a/backend/python/autogptq/test.sh
+++ b/backend/python/autogptq/test.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+runUnittests
--- a/backend/python/bark/Makefile
+++ b/backend/python/bark/Makefile
@@ -1,6 +1,6 @@
 .PHONY: ttsbark
 ttsbark: protogen
-	$(MAKE) -C ../common-env/transformers
+	bash install.sh

 .PHONY: run
 run: protogen
@@ -22,4 +22,8 @@ protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

 backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/bark/backend.py
+++ b/backend/python/bark/backend.py
--- a/backend/python/bark/install.sh
+++ b/backend/python/bark/install.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+fi
+
+installRequirements
--- a/backend/python/bark/requirements-hipblas.txt
+++ b/backend/python/bark/requirements-hipblas.txt
@@ -0,0 +1,3 @@
+--extra-index-url https://download.pytorch.org/whl/rocm6.0
+torch
+torchaudio
--- a/backend/python/bark/requirements-intel.txt
+++ b/backend/python/bark/requirements-intel.txt
@@ -0,0 +1,6 @@
+--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch
+torch
+torchaudio
+optimum[openvino]
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/bark/requirements.txt
+++ b/backend/python/bark/requirements.txt
@@ -0,0 +1,6 @@
+accelerate
+bark==0.1.5
+grpcio==1.64.0
+protobuf
+certifi
+transformers
--- a/backend/python/bark/run.sh
+++ b/backend/python/bark/run.sh
@@ -1,14 +1,4 @@
 #!/bin/bash
+source $(dirname $0)/../common/libbackend.sh

-##
-## A bash script wrapper that runs the ttsbark server with conda
-
-export PATH=$PATH:/opt/conda/bin
-
-# Activate conda environment
-source activate transformers
-
-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python $DIR/ttsbark.py $@
+startBackend $@
--- a/backend/python/bark/test.py
+++ b/backend/python/bark/test.py
@@ -18,7 +18,7 @@ class TestBackendServicer(unittest.TestCase):
        """
        This method sets up the gRPC service by starting the server
        """
-        self.service = subprocess.Popen(["python3", "ttsbark.py", "--addr", "localhost:50051"])
+        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
        time.sleep(10)

    def tearDown(self) -> None:
--- a/backend/python/bark/test.sh
+++ b/backend/python/bark/test.sh
@@ -1,11 +1,6 @@
 #!/bin/bash
-##
-## A bash script wrapper that runs the bark server with conda
+set -e

-# Activate conda environment
-source activate transformers
+source $(dirname $0)/../common/libbackend.sh

-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python -m unittest $DIR/test.py
+runUnittests
--- a/backend/python/common-env/transformers/Makefile
+++ b/backend/python/common-env/transformers/Makefile
@@ -1,21 +0,0 @@
-CONDA_ENV_PATH = "transformers.yml"
-
-ifeq ($(BUILD_TYPE), cublas)
-	CONDA_ENV_PATH = "transformers-nvidia.yml"
-endif
-
-ifeq ($(BUILD_TYPE), hipblas)
-	CONDA_ENV_PATH = "transformers-rocm.yml"
-endif
-
-# Intel GPU are supposed to have dependencies installed in the main python
-# environment, so we skip conda installation for SYCL builds.
-# https://github.com/intel/intel-extension-for-pytorch/issues/538
-ifneq (,$(findstring sycl,$(BUILD_TYPE)))
-export SKIP_CONDA=1
-endif
-
-.PHONY: transformers
-transformers:
-	@echo "Installing $(CONDA_ENV_PATH)..."
-	bash install.sh $(CONDA_ENV_PATH)
--- a/backend/python/common-env/transformers/install.sh
+++ b/backend/python/common-env/transformers/install.sh
@@ -1,44 +0,0 @@
-#!/bin/bash
-set -ex
-
-SKIP_CONDA=${SKIP_CONDA:-0}
-REQUIREMENTS_FILE=$1
-
-# Check if environment exist
-conda_env_exists(){
-    ! conda list --name "${@}" >/dev/null 2>/dev/null
-}
-
-if [ $SKIP_CONDA -eq 1 ]; then
-    echo "Skipping conda environment installation"
-else
-    export PATH=$PATH:/opt/conda/bin
-    if conda_env_exists "transformers" ; then
-        echo "Creating virtual environment..."
-        conda env create --name transformers --file $REQUIREMENTS_FILE
-        echo "Virtual environment created."
-    else 
-        echo "Virtual environment already exists."
-    fi
-fi
-
-if [ -d "/opt/intel" ]; then
-    # Intel GPU: If the directory exists, we assume we are using the intel image
-    # (no conda env)
-    # https://github.com/intel/intel-extension-for-pytorch/issues/538
-    pip install torch==2.1.0.post0 torchvision==0.16.0.post0 torchaudio==2.1.0.post0 intel-extension-for-pytorch==2.1.20+xpu oneccl_bind_pt==2.1.200+xpu intel-extension-for-transformers datasets sentencepiece tiktoken neural_speed optimum[openvino] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-fi
-
-# If we didn't skip conda, activate the environment
-# to install FlashAttention
-if [ $SKIP_CONDA -eq 0 ]; then
-    source activate transformers
-fi
-if [[ $REQUIREMENTS_FILE =~ -nvidia.yml$ ]]; then
-    #TODO: FlashAttention is supported on nvidia and ROCm, but ROCm install can't be done this easily
-    pip install flash-attn --no-build-isolation
-fi
-
-if [ "$PIP_CACHE_PURGE" = true ] ; then
-    pip cache purge
-fi
--- a/backend/python/common-env/transformers/transformers-nvidia.yml
+++ b/backend/python/common-env/transformers/transformers-nvidia.yml
@@ -1,125 +0,0 @@
-name: transformers
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - accelerate==0.27.0
-      - aiohttp==3.8.5
-      - aiosignal==1.3.1
-      - async-timeout==4.0.3
-      - auto-gptq==0.7.1
-      - attrs==23.1.0
-      - bark==0.1.5
-      - bitsandbytes==0.43.0
-      - boto3==1.28.61
-      - botocore==1.31.61
-      - certifi==2023.7.22
-      - TTS==0.22.0
-      - charset-normalizer==3.3.0
-      - datasets==2.14.5
-      - sentence-transformers==2.5.1 # Updated Version
-      - sentencepiece==0.1.99
-      - dill==0.3.7
-      - einops==0.7.0
-      - encodec==0.1.1
-      - filelock==3.12.4
-      - frozenlist==1.4.0
-      - fsspec==2023.6.0
-      - funcy==2.0
-      - grpcio==1.63.0
-      - huggingface-hub
-      - idna==3.4
-      - jinja2==3.1.2
-      - jmespath==1.0.1
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - multidict==6.0.4
-      - multiprocess==0.70.15
-      - networkx
-      - numpy==1.26.0
-      - nvidia-cublas-cu12==12.1.3.1
-      - nvidia-cuda-cupti-cu12==12.1.105
-      - nvidia-cuda-nvrtc-cu12==12.1.105
-      - nvidia-cuda-runtime-cu12==12.1.105
-      - nvidia-cudnn-cu12==8.9.2.26
-      - nvidia-cufft-cu12==11.0.2.54
-      - nvidia-curand-cu12==10.3.2.106
-      - nvidia-cusolver-cu12==11.4.5.107
-      - nvidia-cusparse-cu12==12.1.0.106
-      - nvidia-nccl-cu12==2.18.1
-      - nvidia-nvjitlink-cu12==12.2.140
-      - nvidia-nvtx-cu12==12.1.105
-      - optimum==1.17.1
-      - packaging==23.2
-      - pandas
-      - peft==0.5.0
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyarrow==13.0.0
-      - python-dateutil==2.8.2
-      - pytz==2023.3.post1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - rouge==1.0.1
-      - s3transfer==0.7.0
-      - safetensors>=0.4.1
-      - scipy==1.12.0 # Updated Version
-      - six==1.16.0
-      - sympy==1.12
-      - tokenizers
-      - torch==2.1.2
-      - torchvision==0.16.2
-      - torchaudio==2.1.2
-      - tqdm==4.66.1
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - tzdata==2023.3
-      - urllib3==1.26.17
-      - xxhash==3.4.1
-      - yarl==1.9.2
-      - soundfile
-      - langid
-      - wget
-      - unidecode
-      - pyopenjtalk-prebuilt
-      - pypinyin
-      - inflect
-      - cn2an
-      - jieba
-      - eng_to_ipa
-      - openai-whisper
-      - matplotlib
-      - gradio==3.41.2
-      - nltk
-      - sudachipy
-      - sudachidict_core
-      - vocos
-      - vllm>=0.4.0
-      - transformers>=4.38.2  # Updated Version
-      - transformers_stream_generator==0.0.5
-      - xformers==0.0.23.post1  
-      - rerankers[transformers]
-      - pydantic
-prefix: /opt/conda/envs/transformers
--- a/backend/python/common-env/transformers/transformers-rocm.yml
+++ b/backend/python/common-env/transformers/transformers-rocm.yml
@@ -1,113 +0,0 @@
-name: transformers
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - --pre
-      - --extra-index-url https://download.pytorch.org/whl/nightly/
-      - accelerate==0.27.0
-      - auto-gptq==0.7.1
-      - aiohttp==3.8.5
-      - aiosignal==1.3.1
-      - async-timeout==4.0.3
-      - attrs==23.1.0
-      - bark==0.1.5
-      - boto3==1.28.61
-      - botocore==1.31.61
-      - certifi==2023.7.22
-      - TTS==0.22.0
-      - charset-normalizer==3.3.0
-      - datasets==2.14.5
-      - sentence-transformers==2.5.1 # Updated Version
-      - sentencepiece==0.1.99
-      - dill==0.3.7
-      - einops==0.7.0
-      - encodec==0.1.1
-      - filelock==3.12.4
-      - frozenlist==1.4.0
-      - fsspec==2023.6.0
-      - funcy==2.0
-      - grpcio==1.63.0
-      - huggingface-hub
-      - idna==3.4
-      - jinja2==3.1.2
-      - jmespath==1.0.1
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - multidict==6.0.4
-      - multiprocess==0.70.15
-      - networkx
-      - numpy==1.26.0
-      - packaging==23.2
-      - pandas
-      - peft==0.5.0
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyarrow==13.0.0
-      - python-dateutil==2.8.2
-      - pytz==2023.3.post1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - rouge==1.0.1
-      - s3transfer==0.7.0
-      - safetensors>=0.4.1
-      - scipy==1.12.0 # Updated Version
-      - six==1.16.0
-      - sympy==1.12
-      - tokenizers
-      - torch
-      - torchaudio
-      - tqdm==4.66.1
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - tzdata==2023.3
-      - urllib3==1.26.17
-      - xxhash==3.4.1
-      - yarl==1.9.2
-      - soundfile
-      - langid
-      - wget
-      - unidecode
-      - optimum==1.17.1
-      - pyopenjtalk-prebuilt
-      - pypinyin
-      - inflect
-      - cn2an
-      - jieba
-      - eng_to_ipa
-      - openai-whisper
-      - matplotlib
-      - gradio==3.41.2
-      - nltk
-      - sudachipy
-      - sudachidict_core
-      - vocos
-      - vllm>=0.4.0
-      - transformers>=4.38.2  # Updated Version
-      - transformers_stream_generator==0.0.5
-      - xformers==0.0.23.post1
-      - rerankers[transformers]
-      - pydantic
-prefix: /opt/conda/envs/transformers
--- a/backend/python/common-env/transformers/transformers.yml
+++ b/backend/python/common-env/transformers/transformers.yml
@@ -1,118 +0,0 @@
-name: transformers
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - accelerate==0.27.0
-      - aiohttp==3.8.5
-      - aiosignal==1.3.1
-      - auto-gptq==0.7.1
-      - async-timeout==4.0.3
-      - attrs==23.1.0
-      - bark==0.1.5
-      - boto3==1.28.61
-      - botocore==1.31.61
-      - certifi==2023.7.22
-      - coloredlogs==15.0.1
-      - TTS==0.22.0
-      - charset-normalizer==3.3.0
-      - datasets==2.14.5
-      - sentence-transformers==2.5.1 # Updated Version
-      - sentencepiece==0.1.99
-      - dill==0.3.7
-      - einops==0.7.0
-      - encodec==0.1.1
-      - filelock==3.12.4
-      - frozenlist==1.4.0
-      - fsspec==2023.6.0
-      - funcy==2.0
-      - grpcio==1.63.0
-      - huggingface-hub
-      - humanfriendly==10.0
-      - idna==3.4
-      - jinja2==3.1.2
-      - jmespath==1.0.1
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - multidict==6.0.4
-      - multiprocess==0.70.15
-      - networkx
-      - numpy==1.26.0
-      - onnx==1.15.0
-      - openvino==2024.1.0
-      - openvino-telemetry==2024.1.0
-      - optimum[openvino]==1.19.1
-      - optimum-intel==1.16.1
-      - packaging==23.2
-      - pandas
-      - peft==0.5.0
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyarrow==13.0.0
-      - python-dateutil==2.8.2
-      - pytz==2023.3.post1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - rouge==1.0.1
-      - s3transfer==0.7.0
-      - safetensors>=0.4.1
-      - scipy==1.12.0 # Updated Version
-      - six==1.16.0
-      - sympy==1.12
-      - tokenizers
-      - torch==2.1.2
-      - torchvision==0.16.2
-      - torchaudio==2.1.2
-      - tqdm==4.66.1
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - tzdata==2023.3
-      - urllib3==1.26.17
-      - xxhash==3.4.1
-      - yarl==1.9.2
-      - soundfile
-      - langid
-      - wget
-      - unidecode
-      - pyopenjtalk-prebuilt
-      - pypinyin
-      - inflect
-      - cn2an
-      - jieba
-      - eng_to_ipa
-      - openai-whisper
-      - matplotlib
-      - gradio==3.41.2
-      - nltk
-      - sudachipy
-      - sudachidict_core
-      - vocos
-      - vllm>=0.4.0
-      - transformers>=4.38.2  # Updated Version
-      - transformers_stream_generator==0.0.5
-      - xformers==0.0.23.post1
-      - rerankers[transformers]
-      - pydantic
-prefix: /opt/conda/envs/transformers
--- a/backend/python/common/libbackend.sh
+++ b/backend/python/common/libbackend.sh
@@ -0,0 +1,213 @@
+
+
+# init handles the setup of the library
+# 
+# use the library by adding the following line to a script:
+# source $(dirname $0)/../common/libbackend.sh
+#
+# If you want to limit what targets a backend can be used on, set the variable LIMIT_TARGETS to a
+# space separated list of valid targets BEFORE sourcing the library, for example to only allow a backend
+# to be used on CUDA and CPU backends:
+#
+# LIMIT_TARGETS="cublas cpu"
+# source $(dirname $0)/../common/libbackend.sh
+#
+# You can use any valid BUILD_TYPE or BUILD_PROFILE, if you need to limit a backend to CUDA 12 only:
+#
+# LIMIT_TARGETS="cublas12"
+# source $(dirname $0)/../common/libbackend.sh
+#
+function init() {
+    BACKEND_NAME=${PWD##*/}
+    MY_DIR=$(realpath `dirname $0`)
+    BUILD_PROFILE=$(getBuildProfile)
+
+    # If a backend has defined a list of valid build profiles...
+    if [ ! -z "${LIMIT_TARGETS}" ]; then
+        isValidTarget=$(checkTargets ${LIMIT_TARGETS})
+        if [ ${isValidTarget} != true ]; then
+            echo "${BACKEND_NAME} can only be used on the following targets: ${LIMIT_TARGETS}"
+            exit 0
+        fi
+    fi
+
+    echo "Initializing libbackend for ${BACKEND_NAME}"
+}
+
+# getBuildProfile will inspect the system to determine which build profile is appropriate:
+# returns one of the following:
+# - cublas11
+# - cublas12
+# - hipblas
+# - intel
+function getBuildProfile() {
+    # First check if we are a cublas build, and if so report the correct build profile
+    if [ x"${BUILD_TYPE}" == "xcublas" ]; then
+        if [ ! -z ${CUDA_MAJOR_VERSION} ]; then
+            # If we have been given a CUDA version, we trust it
+            echo ${BUILD_TYPE}${CUDA_MAJOR_VERSION}
+        else
+            # We don't know what version of cuda we are, so we report ourselves as a generic cublas
+            echo ${BUILD_TYPE}
+        fi
+        return 0
+    fi
+
+    # If /opt/intel exists, then we are doing an intel/ARC build
+    if [ -d "/opt/intel" ]; then
+        echo "intel"
+        return 0
+    fi
+
+    # If for any other values of BUILD_TYPE, we don't need any special handling/discovery
+    if [ ! -z ${BUILD_TYPE} ]; then
+        echo ${BUILD_TYPE}
+        return 0
+    fi
+
+    # If there is no BUILD_TYPE set at all, set a build-profile value of CPU, we aren't building for any GPU targets
+    echo "cpu"
+}
+
+# ensureVenv makes sure that the venv for the backend both exists, and is activated.
+#
+# This function is idempotent, so you can call it as many times as you want and it will
+# always result in an activated virtual environment
+function ensureVenv() {
+    if [ ! -d "${MY_DIR}/venv" ]; then
+        uv venv ${MY_DIR}/venv
+        echo "virtualenv created"
+    fi
+    
+    if [ "x${VIRTUAL_ENV}" != "x${MY_DIR}/venv" ]; then
+        source ${MY_DIR}/venv/bin/activate
+        echo "virtualenv activated"
+    fi
+
+    echo "activated virtualenv has been ensured"
+}
+
+# installRequirements looks for several requirements files and if they exist runs the install for them in order
+#
+#  - requirements-install.txt
+#  - requirements.txt
+#  - requirements-${BUILD_TYPE}.txt
+#  - requirements-${BUILD_PROFILE}.txt
+#
+# BUILD_PROFILE is a pore specific version of BUILD_TYPE, ex: cuda11 or cuda12
+# it can also include some options that we do not have BUILD_TYPES for, ex: intel
+#
+# NOTE: for BUILD_PROFILE==intel, this function does NOT automatically use the Intel python package index.
+# you may want to add the following line to a requirements-intel.txt if you use one:
+#
+# --index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+#
+# If you need to add extra flags into the pip install command you can do so by setting the variable EXTRA_PIP_INSTALL_FLAGS
+# before calling installRequirements.  For example:
+#
+# source $(dirname $0)/../common/libbackend.sh
+# EXTRA_PIP_INSTALL_FLAGS="--no-build-isolation"
+# installRequirements
+function installRequirements() {
+    ensureVenv
+
+    # These are the requirements files we will attempt to install, in order
+    declare -a requirementFiles=(
+        "${MY_DIR}/requirements-install.txt"
+        "${MY_DIR}/requirements.txt"
+        "${MY_DIR}/requirements-${BUILD_TYPE}.txt"
+    )
+
+    if [ "x${BUILD_TYPE}" != "x${BUILD_PROFILE}" ]; then
+        requirementFiles+=("${MY_DIR}/requirements-${BUILD_PROFILE}.txt")
+    fi
+
+    for reqFile in ${requirementFiles[@]}; do
+        if [ -f ${reqFile} ]; then
+            echo "starting requirements install for ${reqFile}"
+            uv pip install ${EXTRA_PIP_INSTALL_FLAGS} --requirement ${reqFile}
+            echo "finished requirements install for ${reqFile}"
+        fi
+    done
+}
+
+# startBackend discovers and runs the backend GRPC server
+#
+# You can specify a specific backend file to execute by setting BACKEND_FILE before calling startBackend.
+# example:
+#
+# source ../common/libbackend.sh
+# BACKEND_FILE="${MY_DIR}/source/backend.py"
+# startBackend $@
+#
+# valid filenames for autodiscovered backend servers are:
+#  - server.py
+#  - backend.py
+#  - ${BACKEND_NAME}.py
+function startBackend() {
+    ensureVenv
+
+    if [ ! -z ${BACKEND_FILE} ]; then
+        python ${BACKEND_FILE} $@
+    elif [ -e "${MY_DIR}/server.py" ]; then
+        python ${MY_DIR}/server.py $@
+    elif [ -e "${MY_DIR}/backend.py" ]; then
+        python ${MY_DIR}/backend.py $@
+    elif [ -e "${MY_DIR}/${BACKEND_NAME}.py" ]; then
+        python ${MY_DIR}/${BACKEND_NAME}.py $@
+    fi
+}
+
+# runUnittests discovers and runs python unittests
+#
+# You can specify a specific test file to use by setting TEST_FILE before calling runUnittests.
+# example:
+#
+# source ../common/libbackend.sh
+# TEST_FILE="${MY_DIR}/source/test.py"
+# runUnittests $@
+#
+# be default a file named test.py in the backends directory will be used
+function runUnittests() {
+    ensureVenv
+
+    if [ ! -z ${TEST_FILE} ]; then
+        testDir=$(dirname `realpath ${TEST_FILE}`)
+        testFile=$(basename ${TEST_FILE})
+        pushd ${testDir}
+        python -m unittest ${testFile}
+        popd
+    elif [ -f "${MY_DIR}/test.py" ]; then
+        pushd ${MY_DIR}
+        python -m unittest test.py
+        popd
+    else
+        echo "no tests defined for ${BACKEND_NAME}"
+    fi
+}
+
+##################################################################################
+# Below here are helper functions not intended to be used outside of the library #
+##################################################################################
+
+# checkTargets determines if the current BUILD_TYPE or BUILD_PROFILE is in a list of valid targets
+function checkTargets() {
+    # Collect all provided targets into a variable and...
+    targets=$@
+    # ...convert it into an array
+    declare -a targets=($targets)
+
+    for target in ${targets[@]}; do
+        if [ "x${BUILD_TYPE}" == "x${target}" ]; then
+            echo true
+            return 0
+        fi
+        if [ "x${BUILD_PROFILE}" == "x${target}" ]; then
+            echo true
+            return 0
+        fi
+    done
+    echo false
+}
+
+init
--- a/backend/python/common/template/Makefile
+++ b/backend/python/common/template/Makefile
@@ -0,0 +1,19 @@
+.DEFAULT_GOAL := install
+
+.PHONY: install
+install: protogen
+	bash install.sh
+
+.PHONY: protogen
+protogen: backend_pb2_grpc.py backend_pb2.py
+
+.PHONY: protogen-clean
+protogen-clean:
+	$(RM) backend_pb2_grpc.py backend_pb2.py
+
+backend_pb2_grpc.py backend_pb2.py:
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/common/template/backend.py
+++ b/backend/python/common/template/backend.py
@@ -0,0 +1,4 @@
+#!/usr/bin/env python3
+import grpc
+import backend_pb2
+import backend_pb2_grpc
--- a/backend/python/common/template/install.sh
+++ b/backend/python/common/template/install.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+fi
+
+installRequirements
--- a/backend/python/common/template/requirements-hipblas.txt
+++ b/backend/python/common/template/requirements-hipblas.txt
@@ -0,0 +1,2 @@
+--extra-index-url https://download.pytorch.org/whl/rocm6.0
+torch
--- a/backend/python/common/template/requirements-intel.txt
+++ b/backend/python/common/template/requirements-intel.txt
@@ -0,0 +1,4 @@
+--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch
+torch
+optimum[openvino]
--- a/backend/python/common/template/requirements.txt
+++ b/backend/python/common/template/requirements.txt
@@ -0,0 +1,2 @@
+grpcio==1.64.0
+protobuf
--- a/backend/python/common/template/run.sh
+++ b/backend/python/common/template/run.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+source $(dirname $0)/../common/libbackend.sh
+
+startBackend $@
--- a/backend/python/common/template/test.sh
+++ b/backend/python/common/template/test.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+runUnittests
--- a/backend/python/coqui/Makefile
+++ b/backend/python/coqui/Makefile
@@ -1,6 +1,6 @@
 .PHONY: coqui
 coqui: protogen
-	$(MAKE) -C ../common-env/transformers
+	bash install.sh

 .PHONY: run
 run: protogen
@@ -22,4 +22,8 @@ protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

 backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/coqui/coqui_server.py
+++ b/backend/python/coqui/coqui_server.py
@@ -66,7 +66,21 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):

    def TTS(self, request, context):
        try:
-            self.tts.tts_to_file(text=request.text, speaker_wav=self.AudioPath, language=COQUI_LANGUAGE, file_path=request.dst)
+            # if model is multilangual add language from request or env as fallback
+            lang = request.language or COQUI_LANGUAGE
+            if lang == "":
+                lang = None
+            if self.tts.is_multi_lingual and lang is None:
+               return backend_pb2.Result(success=False, message=f"Model is multi-lingual, but no language was provided")
+
+            # if model is multi-speaker, use speaker_wav or the speaker_id from request.voice
+            if self.tts.is_multi_speaker and self.AudioPath is None and request.voice is None:
+                return backend_pb2.Result(success=False, message=f"Model is multi-speaker, but no speaker was provided")
+
+            if self.tts.is_multi_speaker and request.voice is not None:
+               self.tts.tts_to_file(text=request.text, speaker=request.voice, language=lang, file_path=request.dst)
+            else:
+                self.tts.tts_to_file(text=request.text, speaker_wav=self.AudioPath, language=lang, file_path=request.dst)
        except Exception as err:
            return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
        return backend_pb2.Result(success=True)
--- a/backend/python/coqui/install.sh
+++ b/backend/python/coqui/install.sh
@@ -0,0 +1,14 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+fi
+
+installRequirements
--- a/backend/python/coqui/requirements-hipblas.txt
+++ b/backend/python/coqui/requirements-hipblas.txt
@@ -0,0 +1,3 @@
+--extra-index-url https://download.pytorch.org/whl/rocm6.0
+torch
+torchaudio
--- a/backend/python/coqui/requirements-intel.txt
+++ b/backend/python/coqui/requirements-intel.txt
@@ -0,0 +1,6 @@
+--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch
+torch
+torchaudio
+optimum[openvino]
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/coqui/requirements.txt
+++ b/backend/python/coqui/requirements.txt
@@ -0,0 +1,6 @@
+accelerate
+TTS==0.22.0
+grpcio==1.64.0
+protobuf
+certifi
+transformers
--- a/backend/python/coqui/run.sh
+++ b/backend/python/coqui/run.sh
@@ -1,14 +1,4 @@
 #!/bin/bash
+source $(dirname $0)/../common/libbackend.sh

-##
-## A bash script wrapper that runs the ttsbark server with conda
-
-export PATH=$PATH:/opt/conda/bin
-
-# Activate conda environment
-source activate transformers
-
-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python $DIR/coqui_server.py $@
+startBackend $@
--- a/backend/python/coqui/test.py
+++ b/backend/python/coqui/test.py
@@ -18,7 +18,7 @@ class TestBackendServicer(unittest.TestCase):
        """
        This method sets up the gRPC service by starting the server
        """
-        self.service = subprocess.Popen(["python3", "coqui_server.py", "--addr", "localhost:50051"])
+        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
        time.sleep(10)

    def tearDown(self) -> None:
--- a/backend/python/coqui/test.sh
+++ b/backend/python/coqui/test.sh
@@ -1,11 +1,6 @@
 #!/bin/bash
-##
-## A bash script wrapper that runs the bark server with conda
+set -e

-# Activate conda environment
-source activate transformers
+source $(dirname $0)/../common/libbackend.sh

-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python -m unittest $DIR/test.py
+runUnittests
--- a/backend/python/diffusers/Makefile
+++ b/backend/python/diffusers/Makefile
@@ -13,8 +13,7 @@ endif

 .PHONY: diffusers
 diffusers: protogen
-	@echo "Installing $(CONDA_ENV_PATH)..."
-	bash install.sh $(CONDA_ENV_PATH)
+	bash install.sh

 .PHONY: run
 run: protogen
@@ -33,4 +32,8 @@ protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

 backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	rm -rf venv __pycache__
--- a/backend/python/diffusers/backend_diffusers.py
+++ b/backend/python/diffusers/backend_diffusers.py
@@ -17,7 +17,7 @@ import backend_pb2_grpc

 import grpc

-from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
+from diffusers import StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
 from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline
 from diffusers.pipelines.stable_diffusion import safety_checker
 from diffusers.utils import load_image,export_to_video
@@ -225,6 +225,17 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
                        torch_dtype=torchType, 
                        use_safetensors=True, 
                        variant=variant)
+            elif request.PipelineType == "StableDiffusion3Pipeline":
+                if fromSingleFile:
+                    self.pipe = StableDiffusion3Pipeline.from_single_file(modelFile,
+                                                               torch_dtype=torchType,
+                                                               use_safetensors=True)
+                else:
+                    self.pipe = StableDiffusion3Pipeline.from_pretrained(
+                        request.Model, 
+                        torch_dtype=torchType, 
+                        use_safetensors=True, 
+                        variant=variant)

            if CLIPSKIP and request.CLIPSkip != 0:
                self.clip_skip = request.CLIPSkip
--- a/backend/python/diffusers/diffusers-rocm.yml
+++ b/backend/python/diffusers/diffusers-rocm.yml
@@ -1,65 +0,0 @@
-name: diffusers
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - tzdata=2023c=h04d1e81_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - --pre
-      - --extra-index-url https://download.pytorch.org/whl/nightly/
-      - accelerate>=0.11.0
-      - certifi==2023.7.22
-      - charset-normalizer==3.3.0
-      - compel==2.0.2
-      - diffusers==0.24.0
-      - filelock==3.12.4
-      - fsspec==2023.9.2
-      - grpcio==1.63.0
-      - huggingface-hub>=0.19.4
-      - idna==3.4
-      - importlib-metadata==6.8.0
-      - jinja2==3.1.2
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - networkx==3.1
-      - numpy==1.26.0
-      - omegaconf
-      - packaging==23.2
-      - pillow==10.0.1
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyparsing==3.1.1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - safetensors==0.4.0
-      - sympy==1.12
-      - tqdm==4.66.1
-      - transformers>=4.25.1
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - urllib3==2.0.6
-      - zipp==3.17.0
-      - torch
-      - opencv-python
-prefix: /opt/conda/envs/diffusers
--- a/backend/python/diffusers/diffusers.yml
+++ b/backend/python/diffusers/diffusers.yml
@@ -1,75 +0,0 @@
-name: diffusers
-channels:
-  - defaults
-dependencies:
-  - _libgcc_mutex=0.1=main
-  - _openmp_mutex=5.1=1_gnu
-  - bzip2=1.0.8=h7b6447c_0
-  - ca-certificates=2023.08.22=h06a4308_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=11.2.0=h1234567_1
-  - libgomp=11.2.0=h1234567_1
-  - libstdcxx-ng=11.2.0=h1234567_1
-  - libuuid=1.41.5=h5eee18b_0
-  - ncurses=6.4=h6a678d5_0
-  - openssl=3.0.11=h7f8727e_2
-  - pip=23.2.1=py311h06a4308_0
-  - python=3.11.5=h955ad1f_0
-  - readline=8.2=h5eee18b_0
-  - setuptools=68.0.0=py311h06a4308_0
-  - sqlite=3.41.2=h5eee18b_0
-  - tk=8.6.12=h1ccaba5_0
-  - tzdata=2023c=h04d1e81_0
-  - wheel=0.41.2=py311h06a4308_0
-  - xz=5.4.2=h5eee18b_0
-  - zlib=1.2.13=h5eee18b_0
-  - pip:
-      - accelerate>=0.11.0
-      - certifi==2023.7.22
-      - charset-normalizer==3.3.0
-      - compel==2.0.2
-      - diffusers==0.24.0
-      - filelock==3.12.4
-      - fsspec==2023.9.2
-      - grpcio==1.63.0
-      - huggingface-hub>=0.19.4
-      - idna==3.4
-      - importlib-metadata==6.8.0
-      - jinja2==3.1.2
-      - markupsafe==2.1.3
-      - mpmath==1.3.0
-      - networkx==3.1
-      - numpy==1.26.0
-      - nvidia-cublas-cu12==12.1.3.1
-      - nvidia-cuda-cupti-cu12==12.1.105
-      - nvidia-cuda-nvrtc-cu12==12.1.105
-      - nvidia-cuda-runtime-cu12==12.1.105
-      - nvidia-cudnn-cu12==8.9.2.26
-      - nvidia-cufft-cu12==11.0.2.54
-      - nvidia-curand-cu12==10.3.2.106
-      - nvidia-cusolver-cu12==11.4.5.107
-      - nvidia-cusparse-cu12==12.1.0.106
-      - nvidia-nccl-cu12==2.18.1
-      - nvidia-nvjitlink-cu12==12.2.140
-      - nvidia-nvtx-cu12==12.1.105
-      - omegaconf
-      - packaging==23.2
-      - pillow==10.0.1
-      - protobuf==4.24.4
-      - psutil==5.9.5
-      - pyparsing==3.1.1
-      - pyyaml==6.0.1
-      - regex==2023.10.3
-      - requests==2.31.0
-      - safetensors==0.4.0
-      - sympy==1.12
-      - torch==2.1.0
-      - tqdm==4.66.1
-      - transformers>=4.25.1
-      - triton==2.1.0
-      - typing-extensions==4.8.0
-      - urllib3==2.0.6
-      - zipp==3.17.0
-      - opencv-python
-prefix: /opt/conda/envs/diffusers
--- a/backend/python/diffusers/install.sh
+++ b/backend/python/diffusers/install.sh
@@ -1,50 +1,14 @@
 #!/bin/bash
-set -ex
+set -e

-SKIP_CONDA=${SKIP_CONDA:-0}
+source $(dirname $0)/../common/libbackend.sh

-# Check if environment exist
-conda_env_exists(){
-    ! conda list --name "${@}" >/dev/null 2>/dev/null
-}
-
-if [ $SKIP_CONDA -eq 1 ]; then
-    echo "Skipping conda environment installation"
-else
-    export PATH=$PATH:/opt/conda/bin
-    if conda_env_exists "diffusers" ; then
-        echo "Creating virtual environment..."
-        conda env create --name diffusers --file $1
-        echo "Virtual environment created."
-    else 
-        echo "Virtual environment already exists."
-    fi
+# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
+# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
+# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
+# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
+if [ "x${BUILD_PROFILE}" == "xintel" ]; then
+    EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
 fi

-if [ -d "/opt/intel" ]; then
-    # Intel GPU: If the directory exists, we assume we are using the Intel image
-    # https://github.com/intel/intel-extension-for-pytorch/issues/538
-    pip install torch==2.1.0a0 \
-                torchvision==0.16.0a0 \
-                torchaudio==2.1.0a0 \
-                intel-extension-for-pytorch==2.1.10+xpu \
-                --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-    
-    pip install google-api-python-client \
-                grpcio==1.63.0 \
-                grpcio-tools==1.63.0 \
-                diffusers==0.24.0 \
-                transformers>=4.25.1 \
-                accelerate \
-                compel==2.0.2 \
-                Pillow
-fi
-
-if [ "$PIP_CACHE_PURGE" = true ] ; then
-    if [ $SKIP_CONDA -ne 1 ]; then
-        # Activate conda environment
-        source activate diffusers
-    fi
-
-    pip cache purge
-fi
+installRequirements
--- a/backend/python/diffusers/requirements-hipblas.txt
+++ b/backend/python/diffusers/requirements-hipblas.txt
@@ -0,0 +1,3 @@
+--extra-index-url https://download.pytorch.org/whl/rocm6.0
+torch
+torchvision
--- a/backend/python/diffusers/requirements-intel.txt
+++ b/backend/python/diffusers/requirements-intel.txt
@@ -0,0 +1,6 @@
+--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch
+torch
+torchvision
+optimum[openvino]
+setuptools==69.5.1 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/diffusers/requirements.txt
+++ b/backend/python/diffusers/requirements.txt
@@ -0,0 +1,11 @@
+accelerate
+compel
+diffusers
+grpcio==1.64.0
+opencv-python
+pillow
+protobuf
+sentencepiece
+torch
+transformers
+certifi
--- a/backend/python/diffusers/run.sh
+++ b/backend/python/diffusers/run.sh
@@ -1,19 +1,4 @@
 #!/bin/bash
+source $(dirname $0)/../common/libbackend.sh

-##
-## A bash script wrapper that runs the diffusers server with conda
-
-if [ -d "/opt/intel" ]; then
-    # Assumes we are using the Intel oneAPI container image
-    # https://github.com/intel/intel-extension-for-pytorch/issues/538
-    export XPU=1
-else
-    export PATH=$PATH:/opt/conda/bin
-    # Activate conda environment
-    source activate diffusers
-fi
-
-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python $DIR/backend_diffusers.py $@
+startBackend $@
--- a/backend/python/diffusers/test.py
+++ b/backend/python/diffusers/test.py
@@ -18,7 +18,7 @@ class TestBackendServicer(unittest.TestCase):
        """
        This method sets up the gRPC service by starting the server
        """
-        self.service = subprocess.Popen(["python3", "backend_diffusers.py", "--addr", "localhost:50051"])
+        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])

    def tearDown(self) -> None:
        """
--- a/backend/python/diffusers/test.sh
+++ b/backend/python/diffusers/test.sh
@@ -1,14 +1,6 @@
 #!/bin/bash
+set -e

-##
-## A bash script wrapper that runs the diffusers server with conda
+source $(dirname $0)/../common/libbackend.sh

-export PATH=$PATH:/opt/conda/bin
-
-# Activate conda environment
-source activate diffusers
-
-# get the directory where the bash script is located
-DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-python -m unittest $DIR/test.py
+runUnittests
--- a/backend/python/exllama/.gitignore
+++ b/backend/python/exllama/.gitignore
@@ -0,0 +1 @@
+source
--- a/backend/python/exllama/Makefile
+++ b/backend/python/exllama/Makefile
@@ -18,4 +18,8 @@ protogen-clean:
 	$(RM) backend_pb2_grpc.py backend_pb2.py

 backend_pb2_grpc.py backend_pb2.py:
-	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+	python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
+
+.PHONY: clean
+clean: protogen-clean
+	$(RM) -r venv source __pycache__
--- a/backend/python/exllama/backend.py
+++ b/backend/python/exllama/backend.py
@@ -14,9 +14,9 @@ import torch
 import torch.nn.functional as F
 from torch import version as torch_version

-from tokenizer import ExLlamaTokenizer
-from generator import ExLlamaGenerator
-from model import ExLlama, ExLlamaCache, ExLlamaConfig
+from source.tokenizer import ExLlamaTokenizer
+from source.generator import ExLlamaGenerator
+from source.model import ExLlama, ExLlamaCache, ExLlamaConfig

 _ONE_DAY_IN_SECONDS = 60 * 60 * 24

--- a/Show More
+++ b/Show More