Merge branch 'master' into cleanup_deps

Drop also ttf files
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-02-04 11:42:57 -05:00 · 2024-08-21 13:10:46 +02:00 · 2024-08-21 13:03:26 +02:00 · 2024-08-21 13:02:19 +02:00 · 2024-08-21 13:02:19 +02:00 · 2024-08-21 13:02:19 +02:00
267 changed files with 2277 additions and 7745 deletions
--- a/.devcontainer-scripts/utils.sh
+++ b/.devcontainer-scripts/utils.sh
@@ -9,7 +9,6 @@
 # Param 2: email
 #
 config_user() {
-    echo "Configuring git for $1 <$2>"
    local gcn=$(git config --global user.name)
    if [ -z "${gcn}" ]; then
        echo "Setting up git user / remote"
@@ -25,7 +24,6 @@ config_user() {
 # Param 2: remote url
 #
 config_remote() {
-    echo "Adding git remote and fetching $2 as $1"
    local gr=$(git remote -v | grep $1)
    if [ -z "${gr}" ]; then
        git remote add $1 $2
@@ -34,22 +32,18 @@ config_remote() {
 }

 # Setup special .ssh files
-# Prints out lines of text to make things pretty
+#
 # Param 1: bash array, filenames relative to the customization directory that should be copied to ~/.ssh
 setup_ssh() {
-    echo "starting ~/.ssh directory setup..."
-    mkdir -p "${HOME}.ssh"
-    chmod 0700 "${HOME}/.ssh"
-    echo "-----"
    local files=("$@")
-    for file in "${files[@]}" ; do
+    for file in "${files[@]}"; then
        local cfile="/devcontainer-customization/${file}"
-        local hfile="${HOME}/.ssh/${file}"
+        local hfile="~/.ssh/${file}"
        if [ ! -f "${hfile}" ]; then
-            echo "copying \"${file}\""
+            echo "copying ${file}"
            cp "${cfile}" "${hfile}"
            chmod 600 "${hfile}"
        fi
    done
-    echo "~/.ssh directory setup complete!"
+    ls ~/.ssh
 }
--- a/.github/check_and_update.py
+++ b/.github/check_and_update.py
@@ -29,14 +29,9 @@ def calculate_sha256(file_path):
 def manual_safety_check_hf(repo_id):
    scanResponse = requests.get('https://huggingface.co/api/models/' + repo_id + "/scan")
    scan = scanResponse.json()
-    # Check if 'hasUnsafeFile' exists in the response
-    if 'hasUnsafeFile' in scan:
-        if scan['hasUnsafeFile']:
-            return scan
-        else:
-            return None
-    else:
-        return None
+    if scan['hasUnsafeFile']:
+        return scan
+    return None

 download_type, repo_id_or_url = parse_uri(uri)

--- a/.github/ci/modelslist.go
+++ b/.github/ci/modelslist.go
@@ -6,7 +6,6 @@ import (
 	"io/ioutil"
 	"os"

-	"github.com/microcosm-cc/bluemonday"
 	"gopkg.in/yaml.v3"
 )

@@ -280,12 +279,6 @@ func main() {
 		return
 	}

-	// Ensure that all arbitrary text content is sanitized before display
-	for i, m := range models {
-		models[i].Name = bluemonday.StrictPolicy().Sanitize(m.Name)
-		models[i].Description = bluemonday.StrictPolicy().Sanitize(m.Description)
-	}
-
 	// render the template
 	data := struct {
 		Models          []*GalleryModel
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -9,8 +9,6 @@ updates:
    directory: "/"
    schedule:
      interval: "weekly"
-    ignore:
-    - dependency-name: "github.com/mudler/LocalAI/pkg/grpc/proto"
  - package-ecosystem: "github-actions"
    # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.)
    directory: "/"
--- a/.github/workflows/bump_deps.yaml
+++ b/.github/workflows/bump_deps.yaml
@@ -56,7 +56,7 @@ jobs:
          rm -rfv ${{ matrix.variable }}_message.txt
          rm -rfv ${{ matrix.variable }}_commit.txt
      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v6
        with:
          token: ${{ secrets.UPDATE_BOT_TOKEN }}
          push-to-fork: ci-forks/LocalAI
--- a/.github/workflows/bump_docs.yaml
+++ b/.github/workflows/bump_docs.yaml
@@ -17,7 +17,7 @@ jobs:
        run: |
          bash .github/bump_docs.sh ${{ matrix.repository }}
      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v6
        with:
          token: ${{ secrets.UPDATE_BOT_TOKEN }}
          push-to-fork: ci-forks/LocalAI
--- a/.github/workflows/checksum_checker.yaml
+++ b/.github/workflows/checksum_checker.yaml
@@ -36,7 +36,7 @@ jobs:
          sudo chmod 777 /hf_cache
          bash .github/checksum_checker.sh gallery/index.yaml
      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v6
        with:
          token: ${{ secrets.UPDATE_BOT_TOKEN }}
          push-to-fork: ci-forks/LocalAI
--- a/.github/workflows/deploy-explorer.yaml
+++ b/.github/workflows/deploy-explorer.yaml
@@ -33,7 +33,7 @@ jobs:
        run: |
          CGO_ENABLED=0 make build-api
      - name: rm
-        uses: appleboy/ssh-action@v1.1.0
+        uses: appleboy/ssh-action@v1.0.3
        with:
            host: ${{ secrets.EXPLORER_SSH_HOST }}
            username: ${{ secrets.EXPLORER_SSH_USERNAME }}
@@ -53,7 +53,7 @@ jobs:
            rm: true
            target: ./local-ai
      - name: restarting
-        uses: appleboy/ssh-action@v1.1.0
+        uses: appleboy/ssh-action@v1.0.3
        with:
            host: ${{ secrets.EXPLORER_SSH_HOST }}
            username: ${{ secrets.EXPLORER_SSH_USERNAME }}
--- a/.github/workflows/image.yml
+++ b/.github/workflows/image.yml
@@ -13,78 +13,6 @@ concurrency:
  cancel-in-progress: true

 jobs:
-  hipblas-jobs:
-    uses: ./.github/workflows/image_build.yml
-    with:
-      tag-latest: ${{ matrix.tag-latest }}
-      tag-suffix: ${{ matrix.tag-suffix }}
-      ffmpeg: ${{ matrix.ffmpeg }}
-      image-type: ${{ matrix.image-type }}
-      build-type: ${{ matrix.build-type }}
-      cuda-major-version: ${{ matrix.cuda-major-version }}
-      cuda-minor-version: ${{ matrix.cuda-minor-version }}
-      platforms: ${{ matrix.platforms }}
-      runs-on: ${{ matrix.runs-on }}
-      base-image: ${{ matrix.base-image }}
-      grpc-base-image: ${{ matrix.grpc-base-image }}
-      aio: ${{ matrix.aio }}
-      makeflags: ${{ matrix.makeflags }}
-      latest-image: ${{ matrix.latest-image }}
-      latest-image-aio: ${{ matrix.latest-image-aio }}
-    secrets:
-      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
-      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
-      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-    strategy:
-      # Pushing with all jobs in parallel
-      # eats the bandwidth of all the nodes
-      max-parallel: 2
-      matrix:
-        include:
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-hipblas-ffmpeg'
-            ffmpeg: 'true'
-            image-type: 'extras'
-            aio: "-aio-gpu-hipblas"
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            latest-image: 'latest-gpu-hipblas'
-            latest-image-aio: 'latest-aio-gpu-hipblas'
-            runs-on: 'arc-runner-set'
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-hipblas'
-            ffmpeg: 'false'
-            image-type: 'extras'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            runs-on: 'arc-runner-set'
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-hipblas-ffmpeg-core'
-            ffmpeg: 'true'
-            image-type: 'core'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            runs-on: 'arc-runner-set'
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-hipblas-core'
-            ffmpeg: 'false'
-            image-type: 'core'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            runs-on: 'arc-runner-set'
-            makeflags: "--jobs=3 --output-sync=target"
  self-hosted-jobs:
    uses: ./.github/workflows/image_build.yml
    with:
@@ -111,7 +39,7 @@ jobs:
    strategy:
      # Pushing with all jobs in parallel
      # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 5 || 8 }}
+      max-parallel: ${{ github.event_name != 'pull_request' && 6 || 10 }}
      matrix:
        include:
          # Extra images
@@ -194,6 +122,29 @@ jobs:
            base-image: "ubuntu:22.04"
            runs-on: 'arc-runner-set'
            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-hipblas-ffmpeg'
+            ffmpeg: 'true'
+            image-type: 'extras'
+            aio: "-aio-gpu-hipblas"
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            latest-image: 'latest-gpu-hipblas'
+            latest-image-aio: 'latest-aio-gpu-hipblas'
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas'
+            ffmpeg: 'false'
+            image-type: 'extras'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
          - build-type: 'sycl_f16'
            platforms: 'linux/amd64'
            tag-latest: 'auto'
@@ -261,6 +212,26 @@ jobs:
            image-type: 'core'
            runs-on: 'arc-runner-set'
            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas-ffmpeg-core'
+            ffmpeg: 'true'
+            image-type: 'core'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            grpc-base-image: "ubuntu:22.04"
+            runs-on: 'arc-runner-set'
+            makeflags: "--jobs=3 --output-sync=target"
+          - build-type: 'hipblas'
+            platforms: 'linux/amd64'
+            tag-latest: 'false'
+            tag-suffix: '-hipblas-core'
+            ffmpeg: 'false'
+            image-type: 'core'
+            base-image: "rocm/dev-ubuntu-22.04:6.1"
+            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
--- a/.github/workflows/notify-models.yaml
+++ b/.github/workflows/notify-models.yaml
@@ -79,7 +79,7 @@ jobs:
        args: ${{ steps.summarize.outputs.message }}
    - name: Setup tmate session if fails
      if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.19
+      uses: mxschmitt/action-tmate@v3.18
      with:
        detached: true
        connect-timeout-seconds: 180
@@ -161,7 +161,7 @@ jobs:
        TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}
    - name: Setup tmate session if fails
      if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.19
+      uses: mxschmitt/action-tmate@v3.18
      with:
        detached: true
        connect-timeout-seconds: 180
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -123,7 +123,7 @@ jobs:
            release/*
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
@@ -232,7 +232,7 @@ jobs:
            release/*
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
@@ -294,7 +294,7 @@ jobs:
          export C_INCLUDE_PATH=/usr/local/include
          export CPLUS_INCLUDE_PATH=/usr/local/include
          export PATH=$PATH:$GOPATH/bin
-          export SKIP_GRPC_BACKEND=backend-assets/grpc/whisper
+
          make dist
      - uses: actions/upload-artifact@v4
        with:
@@ -308,7 +308,7 @@ jobs:
            release/*
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
@@ -327,7 +327,7 @@ jobs:
          cache: false
      - name: Dependencies
        run: |
-          brew install protobuf grpc libomp llvm
+          brew install protobuf grpc
          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
      - name: Build
@@ -336,7 +336,7 @@ jobs:
          export C_INCLUDE_PATH=/usr/local/include
          export CPLUS_INCLUDE_PATH=/usr/local/include
          export PATH=$PATH:$GOPATH/bin
-          export CC=/opt/homebrew/opt/llvm/bin/clang
+
          make dist
      - uses: actions/upload-artifact@v4
        with:
@@ -350,7 +350,7 @@ jobs:
            release/*
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
--- a/.github/workflows/secscan.yaml
+++ b/.github/workflows/secscan.yaml
@@ -18,7 +18,7 @@ jobs:
        if: ${{ github.actor != 'dependabot[bot]' }}
      - name: Run Gosec Security Scanner
        if: ${{ github.actor != 'dependabot[bot]' }}
-        uses: securego/gosec@v2.21.4
+        uses: securego/gosec@master
        with:
          # we let the report trigger content trigger a failure using the GitHub Security features.
          args: '-no-fail -fmt sarif -out results.sarif ./...'
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -133,7 +133,7 @@ jobs:
          PATH="$PATH:/root/go/bin" GO_TAGS="stablediffusion tts" make --jobs 5 --output-sync=target test
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
@@ -178,26 +178,17 @@ jobs:
        uses: actions/checkout@v4
        with:
          submodules: true
-      - name: Dependencies
-        run: |
-          # Install protoc
-          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
-          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
-          rm protoc.zip
-          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
-          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
-          PATH="$PATH:$HOME/go/bin" make protogen-go
      - name: Build images
        run: |
          docker build --build-arg FFMPEG=true --build-arg IMAGE_TYPE=extras --build-arg EXTRA_BACKENDS=rerankers --build-arg MAKEFLAGS="--jobs=5 --output-sync=target" -t local-ai:tests -f Dockerfile .
          BASE_IMAGE=local-ai:tests DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio
      - name: Test
        run: |
-            PATH="$PATH:$HOME/go/bin" LOCALAI_MODELS_DIR=$PWD/models LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio \
+          LOCALAI_MODELS_DIR=$PWD/models LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio \
            make run-e2e-aio
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
@@ -223,19 +214,18 @@ jobs:
        run: go version
      - name: Dependencies
        run: |
-          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm
+          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc
          pip install --user --no-cache-dir grpcio-tools==1.64.1
      - name: Test
        run: |
          export C_INCLUDE_PATH=/usr/local/include
          export CPLUS_INCLUDE_PATH=/usr/local/include
-          export CC=/opt/homebrew/opt/llvm/bin/clang
          # Used to run the newer GNUMake version from brew that supports --output-sync
          export PATH="/opt/homebrew/opt/make/libexec/gnubin:$PATH"
          BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make --jobs 4 --output-sync=target test
      - name: Setup tmate session if tests fail
        if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.19
+        uses: mxschmitt/action-tmate@v3.18
        with:
          detached: true
          connect-timeout-seconds: 180
--- a/.github/workflows/update_swagger.yaml
+++ b/.github/workflows/update_swagger.yaml
@@ -25,7 +25,7 @@ jobs:
        run: |
          make protogen-go swagger
      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v6
        with:
          token: ${{ secrets.UPDATE_BOT_TOKEN }}
          push-to-fork: ci-forks/LocalAI
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -15,6 +15,8 @@ Thank you for your interest in contributing to LocalAI! We appreciate your time
 - [Documentation](#documentation)
 - [Community and Communication](#community-and-communication)

+
+
 ## Getting Started

 ### Prerequisites
@@ -52,7 +54,7 @@ If you find a bug, have a feature request, or encounter any issues, please check

 ## Coding Guidelines

- No specific coding guidelines at the moment. Please make sure the code can be tested. The most popular lint tools like [`golangci-lint`](https://golangci-lint.run) can help you here.
+- No specific coding guidelines at the moment. Please make sure the code can be tested. The most popular lint tools like []`golangci-lint`](https://golangci-lint.run) can help you here.

 ## Testing

@@ -82,3 +84,5 @@ We are welcome the contribution of the documents, please open new PR or create a
 - You can reach out via the Github issue tracker.
 - Open a new discussion at [Discussion](https://github.com/go-skynet/LocalAI/discussions)
 - Join the Discord channel [Discord](https://discord.gg/uJAeKSAGDy)
+
+---
--- a/80
+++ b/80
@@ -9,13 +9,11 @@ FROM ${BASE_IMAGE} AS requirements-core
 USER root

 ARG GO_VERSION=1.22.6
-ARG CMAKE_VERSION=3.26.4
-ARG CMAKE_FROM_SOURCE=false
 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,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,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"
+ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/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"


 RUN apt-get update && \
@@ -23,25 +21,13 @@ RUN apt-get update && \
        build-essential \
        ccache \
        ca-certificates \
-        curl libssl-dev \
+        cmake \
+        curl \
        git \
        unzip upx-ucl && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

-# Install CMake (the version in 22.04 is too old)
-RUN <<EOT bash
-    if [ "${CMAKE_FROM_SOURCE}}" = "true" ]; then
-        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
-    else
-        apt-get update && \
-        apt-get install -y \
-            cmake && \
-        apt-get clean && \
-        rm -rf /var/lib/apt/lists/*
-    fi
-EOT
-
 # 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
@@ -202,8 +188,6 @@ 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=v1.65.0
-ARG CMAKE_FROM_SOURCE=false
-ARG CMAKE_VERSION=3.26.4

 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}

@@ -212,24 +196,12 @@ WORKDIR /build
 RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        ca-certificates \
-        build-essential curl libssl-dev \
+        build-essential \
+        cmake \
        git && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

-# Install CMake (the version in 22.04 is too old)
-RUN <<EOT bash
-    if [ "${CMAKE_FROM_SOURCE}}" = "true" ]; then
-        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
-    else
-        apt-get update && \
-        apt-get install -y \
-            cmake && \
-        apt-get clean && \
-        rm -rf /var/lib/apt/lists/*
-    fi
-EOT
-
 # We install GRPC to a different prefix here so that we can copy in only the build artifacts later
 # saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
 # and running make install in the target container
@@ -291,20 +263,14 @@ EOT
 # In most cases, builder is the image you should be using - however, this can save build time if one just needs to copy backend-assets/grpc/stablediffusion and nothing else.
 FROM builder-base AS builder-sd

-# stablediffusion does not tolerate a newer version of abseil, copy only over enough elements to build it
-COPY Makefile .
-COPY go.mod .
-COPY go.sum .
-COPY backend/backend.proto ./backend/backend.proto
-COPY backend/go/image/stablediffusion ./backend/go/image/stablediffusion
-COPY pkg/grpc ./pkg/grpc
-COPY pkg/stablediffusion ./pkg/stablediffusion
-RUN git init
-RUN make sources/go-stable-diffusion
-RUN touch prepare-sources
+COPY . .
+COPY .git .

-# Actually build the backend
-RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make backend-assets/grpc/stablediffusion
+RUN make prepare
+
+
+# stablediffusion does not tolerate a newer version of abseil, build it first
+RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build

 ###################################
 ###################################
@@ -319,20 +285,8 @@ COPY --from=grpc /opt/grpc /usr/local
 # Rebuild with defaults backends
 WORKDIR /build

-COPY . .
-COPY .git .
-
-RUN make prepare
-
 ## Build the binary
-## If it's CUDA or hipblas, we want to skip some of the llama-compat backends to save space
-## We only leave the most CPU-optimized variant and the fallback for the cublas/hipblas build
-## (both will use CUDA or hipblas for the actual computation)
-RUN if [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then \
-        SKIP_GRPC_BACKEND="backend-assets/grpc/llama-cpp-avx backend-assets/grpc/llama-cpp-avx2" make build; \
-    else \
-        make build; \
-    fi
+RUN make build

 RUN if [ ! -d "/build/sources/go-piper/piper-phonemize/pi/lib/" ]; then \
        mkdir -p /build/sources/go-piper/piper-phonemize/pi/lib/ \
@@ -366,8 +320,9 @@ RUN if [ "${FFMPEG}" = "true" ]; then \

 RUN apt-get update && \
    apt-get install -y --no-install-recommends \
-        ssh less wget
-# For the devcontainer, leave apt functional in case additional devtools are needed at runtime.
+        ssh less && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*

 RUN go install github.com/go-delve/delve/cmd/dlv@latest

@@ -445,6 +400,9 @@ RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAG
    ; fi && \
    if [[ ( "${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 [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
--- a/40
+++ b/40
@@ -8,7 +8,7 @@ DETECT_LIBS?=true
 # llama.cpp versions
 GOLLAMA_REPO?=https://github.com/go-skynet/go-llama.cpp
 GOLLAMA_VERSION?=2b57a8ae43e4699d3dc5d1496a1ccd42922993be
-CPPLLAMA_VERSION?=45f097645efb11b6d09a5b4adbbfd7c312ac0126
+CPPLLAMA_VERSION?=2f3c1466ff46a2413b0e363a5005c46538186ee6

 # go-rwkv version
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
@@ -16,7 +16,7 @@ RWKV_VERSION?=661e7ae26d442f5cfebd2a0881b44e8c55949ec6

 # whisper.cpp version
 WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp
-WHISPER_CPP_VERSION?=a5abfe6a90495f7bf19fe70d016ecc255e97359c
+WHISPER_CPP_VERSION?=d65786ea540a5aef21f67cacfa6f134097727780

 # bert.cpp version
 BERT_REPO?=https://github.com/go-skynet/go-bert.cpp
@@ -338,7 +338,7 @@ rebuild: ## Rebuilds the project
 	$(MAKE) -C sources/go-tiny-dream clean
 	$(MAKE) build

-prepare: prepare-sources $(OPTIONAL_TARGETS)
+prepare: prepare-sources gen-assets $(OPTIONAL_TARGETS)

 clean: ## Remove build related file
 	$(GOCMD) clean -cache
@@ -359,9 +359,6 @@ clean-tests:
 	rm -rf test-dir
 	rm -rf core/http/backend-assets

-clean-dc: clean
-	cp -r /build/backend-assets /workspace/backend-assets
-
 ## Build:
 build: prepare backend-assets grpcs ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
@@ -468,15 +465,15 @@ run-e2e-image:
 	ls -liah $(abspath ./tests/e2e-fixtures)
 	docker run -p 5390:8080 -e MODELS_PATH=/models -e THREADS=1 -e DEBUG=true -d --rm -v $(TEST_DIR):/models --gpus all --name e2e-tests-$(RANDOM) localai-tests

-run-e2e-aio: protogen-go
+run-e2e-aio:
 	@echo 'Running e2e AIO tests'
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e-aio
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts 5 -v -r ./tests/e2e-aio

 test-e2e:
 	@echo 'Running e2e tests'
 	BUILD_TYPE=$(BUILD_TYPE) \
 	LOCALAI_API=http://$(E2E_BRIDGE_IP):5390/v1 \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts 5 -v -r ./tests/e2e

 teardown-e2e:
 	rm -rf $(TEST_DIR) || true
@@ -484,24 +481,24 @@ teardown-e2e:

 test-llama: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama" --flake-attempts 5 -v -r $(TEST_PATHS)

 test-llama-gguf: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama-gguf" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="llama-gguf" --flake-attempts 5 -v -r $(TEST_PATHS)

 test-tts: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="tts" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="tts" --flake-attempts 1 -v -r $(TEST_PATHS)

 test-stablediffusion: prepare-test
 	TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stablediffusion" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stablediffusion" --flake-attempts 1 -v -r $(TEST_PATHS)

 test-stores: backend-assets/grpc/local-store
 	mkdir -p tests/integration/backend-assets/grpc
 	cp -f backend-assets/grpc/local-store tests/integration/backend-assets/grpc/
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stores" --flake-attempts $(TEST_FLAKES) -v -r tests/integration
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stores" --flake-attempts 1 -v -r tests/integration

 test-container:
 	docker build --target requirements -t local-ai-test-container .
@@ -537,10 +534,10 @@ protogen-go-clean:
 	$(RM) bin/*

 .PHONY: protogen-python
-protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama2-protogen mamba-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen
+protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-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  exllama2-protogen-clean mamba-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
+protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-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:
@@ -574,6 +571,14 @@ diffusers-protogen:
 diffusers-protogen-clean:
 	$(MAKE) -C backend/python/diffusers protogen-clean

+.PHONY: exllama-protogen
+exllama-protogen:
+	$(MAKE) -C backend/python/exllama protogen
+
+.PHONY: exllama-protogen-clean
+exllama-protogen-clean:
+	$(MAKE) -C backend/python/exllama protogen-clean
+
 .PHONY: exllama2-protogen
 exllama2-protogen:
 	$(MAKE) -C backend/python/exllama2 protogen
@@ -670,6 +675,7 @@ prepare-extra-conda-environments: protogen-python
 	$(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/exllama2

 prepare-test-extra: protogen-python
@@ -840,7 +846,7 @@ endif

 backend-assets/grpc/whisper: sources/whisper.cpp sources/whisper.cpp/libwhisper.a backend-assets/grpc
 	CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_WHISPER)" C_INCLUDE_PATH="$(CURDIR)/sources/whisper.cpp/include:$(CURDIR)/sources/whisper.cpp/ggml/include" LIBRARY_PATH=$(CURDIR)/sources/whisper.cpp \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./backend/go/transcribe/whisper
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/whisper ./backend/go/transcribe/
 ifneq ($(UPX),)
 	$(UPX) backend-assets/grpc/whisper
 endif
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@

 > :bulb: Get help - [❓FAQ](https://localai.io/faq/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
 >
-> [💻 Quickstart](https://localai.io/basics/getting_started/) [🖼️ Models](https://models.localai.io/) [🚀 Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) [🥽 Demo](https://demo.localai.io) [🌍 Explorer](https://explorer.localai.io) [🛫 Examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) 
+> [💻 Quickstart](https://localai.io/basics/getting_started/) [📣 News](https://localai.io/basics/news/) [ 🛫 Examples ](https://github.com/go-skynet/LocalAI/tree/master/examples/) [ 🖼️ Models ](https://localai.io/models/) [ 🚀 Roadmap ](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)

 [![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)

@@ -66,26 +66,12 @@ docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
 # docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12 
 ```

-To load models:
-
-```bash
-# From the model gallery (see available models with `local-ai models list`, in the WebUI from the model tab, or visiting https://models.localai.io)
-local-ai run llama-3.2-1b-instruct:q4_k_m
-# Start LocalAI with the phi-2 model directly from huggingface
-local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
-# Install and run a model from the Ollama OCI registry
-local-ai run ollama://gemma:2b
-# Run a model from a configuration file
-local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
-# Install and run a model from a standard OCI registry (e.g., Docker Hub)
-local-ai run oci://localai/phi-2:latest
-```
-
 [💻 Getting started](https://localai.io/basics/getting_started/index.html)

-## 📰 Latest project news
+## 🔥🔥 Hot topics / Roadmap
+
+[Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)

- Aug 2024:  🆕 FLUX-1, [P2P Explorer](https://explorer.localai.io)
 - July 2024: 🔥🔥 🆕 P2P Dashboard, LocalAI Federated mode and AI Swarms: https://github.com/mudler/LocalAI/pull/2723
 - June 2024: 🆕 You can browse now the model gallery without LocalAI! Check out https://models.localai.io
 - June 2024: Support for models from OCI registries: https://github.com/mudler/LocalAI/pull/2628
@@ -96,12 +82,8 @@ local-ai run oci://localai/phi-2:latest
 - May 2024: Chat, TTS, and Image generation in the WebUI: https://github.com/mudler/LocalAI/pull/2222
 - April 2024: Reranker API: https://github.com/mudler/LocalAI/pull/2121

-Roadmap items: [List of issues](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
+Hot topics (looking for contributors):

-## 🔥🔥 Hot topics (looking for help):
-
- Multimodal with vLLM and Video understanding: https://github.com/mudler/LocalAI/pull/3729
- Realtime API https://github.com/mudler/LocalAI/issues/3714
 - 🔥🔥 Distributed, P2P Global community pools: https://github.com/mudler/LocalAI/issues/3113
 - WebUI improvements: https://github.com/mudler/LocalAI/issues/2156
 - Backends v2: https://github.com/mudler/LocalAI/issues/1126
--- a/aio/cpu/vision.yaml
+++ b/aio/cpu/vision.yaml
@@ -2,7 +2,7 @@ backend: llama-cpp
 context_size: 4096
 f16: true
 mmap: true
-name: gpt-4o
+name: gpt-4-vision-preview

 roles:
  user: "USER:"
--- a/aio/gpu-8g/vision.yaml
+++ b/aio/gpu-8g/vision.yaml
@@ -2,7 +2,7 @@ backend: llama-cpp
 context_size: 4096
 f16: true
 mmap: true
-name: gpt-4o
+name: gpt-4-vision-preview

 roles:
  user: "USER:"
--- a/aio/intel/image-gen.yaml
+++ b/aio/intel/image-gen.yaml
@@ -1,6 +1,6 @@
 name: stablediffusion
 parameters:
-  model: Lykon/dreamshaper-8
+  model: runwayml/stable-diffusion-v1-5
 backend: diffusers
 step: 25
 f16: true
--- a/aio/intel/vision.yaml
+++ b/aio/intel/vision.yaml
@@ -2,7 +2,7 @@ backend: llama-cpp
 context_size: 4096
 mmap: false
 f16: false
-name: gpt-4o
+name: gpt-4-vision-preview

 roles:
  user: "USER:"
--- a/backend/backend.proto
+++ b/backend/backend.proto
@@ -16,7 +16,6 @@ service Backend {
  rpc GenerateImage(GenerateImageRequest) returns (Result) {}
  rpc AudioTranscription(TranscriptRequest) returns (TranscriptResult) {}
  rpc TTS(TTSRequest) returns (Result) {}
-  rpc SoundGeneration(SoundGenerationRequest) returns (Result) {}
  rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
  rpc Status(HealthMessage) returns (StatusResponse) {}

@@ -26,19 +25,6 @@ service Backend {
  rpc StoresFind(StoresFindOptions) returns (StoresFindResult) {}

  rpc Rerank(RerankRequest) returns (RerankResult) {}
-
-  rpc GetMetrics(MetricsRequest) returns (MetricsResponse);
-}
-
-// Define the empty request
-message MetricsRequest {}
-
-message MetricsResponse {
-  int32 slot_id = 1;
-  string prompt_json_for_slot = 2;  // Stores the prompt as a JSON string.
-  float tokens_per_second = 3;
-  int32 tokens_generated = 4;
-  int32 prompt_tokens_processed = 5;
 }

 message RerankRequest {
@@ -147,9 +133,6 @@ message PredictOptions {
  repeated string Images = 42;
  bool UseTokenizerTemplate = 43;
  repeated Message Messages = 44;
-  repeated string Videos = 45;
-  repeated string Audios = 46;
-  string CorrelationId = 47;
 }

 // The response message containing the result
@@ -287,17 +270,6 @@ message TTSRequest {
  optional string language = 5;
 }

-message SoundGenerationRequest {
-  string text = 1;
-  string model = 2;
-  string dst = 3;
-  optional float duration = 4;
-  optional float temperature = 5;
-  optional bool sample = 6;
-  optional string src = 7;
-  optional int32 src_divisor = 8;
-}
-
 message TokenizationResponse {
  int32 length = 1;
  repeated int32 tokens = 2;
--- a/backend/cpp/llama/grpc-server.cpp
+++ b/backend/cpp/llama/grpc-server.cpp
@@ -13,15 +13,15 @@
 #include <getopt.h>
 #include "clip.h"
 #include "llava.h"
-#include "log.h"
 #include "stb_image.h"
 #include "common.h"
 #include "json.hpp"
 #include "llama.h"
+#include "grammar-parser.h"
 #include "backend.pb.h"
 #include "backend.grpc.pb.h"
 #include "utils.hpp"
-#include "sampling.h"
+
 // include std::regex
 #include <cstddef>
 #include <thread>
@@ -113,7 +113,7 @@ static std::string tokens_to_str(llama_context *ctx, Iter begin, Iter end)
    std::string ret;
    for (; begin != end; ++begin)
    {
-        ret += common_token_to_piece(ctx, *begin);
+        ret += llama_token_to_piece(ctx, *begin);
    }
    return ret;
 }
@@ -121,7 +121,7 @@ static std::string tokens_to_str(llama_context *ctx, Iter begin, Iter end)
 // format incomplete utf-8 multibyte character for output
 static std::string tokens_to_output_formatted_string(const llama_context *ctx, const llama_token token)
 {
-    std::string out = token == -1 ? "" : common_token_to_piece(ctx, token);
+    std::string out = token == -1 ? "" : llama_token_to_piece(ctx, token);
    // if the size is 1 and first bit is 1, meaning it's a partial character
    //   (size > 1 meaning it's already a known token)
    if (out.size() == 1 && (out[0] & 0x80) == 0x80)
@@ -203,8 +203,8 @@ struct llama_client_slot
    std::string stopping_word;

    // sampling
-    struct common_sampler_params sparams;
-    common_sampler *ctx_sampling = nullptr;
+    struct llama_sampling_params sparams;
+    llama_sampling_context *ctx_sampling = nullptr;

    int32_t ga_i = 0;   // group-attention state
    int32_t ga_n = 1;   // group-attention factor
@@ -257,7 +257,7 @@ struct llama_client_slot
        images.clear();
    }

-    bool has_budget(common_params &global_params) {
+    bool has_budget(gpt_params &global_params) {
        if (params.n_predict == -1 && global_params.n_predict == -1)
        {
            return true; // limitless
@@ -391,39 +391,6 @@ struct llama_metrics {
    }
 };

-struct llava_embd_batch {
-    std::vector<llama_pos>      pos;
-    std::vector<int32_t>        n_seq_id;
-    std::vector<llama_seq_id>   seq_id_0;
-    std::vector<llama_seq_id *> seq_ids;
-    std::vector<int8_t>         logits;
-    llama_batch batch;
-    llava_embd_batch(float * embd, int32_t n_tokens, llama_pos pos_0, llama_seq_id seq_id) {
-        pos     .resize(n_tokens);
-        n_seq_id.resize(n_tokens);
-        seq_ids .resize(n_tokens + 1);
-        logits  .resize(n_tokens);
-        seq_id_0.resize(1);
-        seq_id_0[0] = seq_id;
-        seq_ids [n_tokens] = nullptr;
-        batch = {
-            /*n_tokens       =*/ n_tokens,
-            /*tokens         =*/ nullptr,
-            /*embd           =*/ embd,
-            /*pos            =*/ pos.data(),
-            /*n_seq_id       =*/ n_seq_id.data(),
-            /*seq_id         =*/ seq_ids.data(),
-            /*logits         =*/ logits.data(),
-        };
-        for (int i = 0; i < n_tokens; i++) {
-            batch.pos     [i] = pos_0 + i;
-            batch.n_seq_id[i] = 1;
-            batch.seq_id  [i] = seq_id_0.data();
-            batch.logits  [i] = false;
-        }
-    }
-};
-
 struct llama_server_context
 {
    llama_model *model = nullptr;
@@ -431,7 +398,7 @@ struct llama_server_context

    clip_ctx *clp_ctx = nullptr;

-    common_params params;
+    gpt_params params;

    llama_batch batch;

@@ -474,7 +441,7 @@ struct llama_server_context
        }
    }

-    bool load_model(const common_params &params_)
+    bool load_model(const gpt_params &params_)
    {
        params = params_;
        if (!params.mmproj.empty()) {
@@ -482,7 +449,7 @@ struct llama_server_context
            LOG_INFO("Multi Modal Mode Enabled", {});
            clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
            if(clp_ctx == nullptr) {
-                LOG_ERR("unable to load clip model: %s", params.mmproj.c_str());
+                LOG_ERROR("unable to load clip model", {{"model", params.mmproj}});
                return false;
            }

@@ -491,12 +458,12 @@ struct llama_server_context
            }
        }

-        common_init_result common_init = common_init_from_params(params);
-        model = common_init.model;
-        ctx = common_init.context;
+        llama_init_result llama_init = llama_init_from_gpt_params(params);
+        model = llama_init.model;
+        ctx = llama_init.context;
        if (model == nullptr)
        {
-            LOG_ERR("unable to load model: %s", params.model.c_str());
+            LOG_ERROR("unable to load model", {{"model", params.model}});
            return false;
        }

@@ -504,7 +471,7 @@ struct llama_server_context
            const int n_embd_clip = clip_n_mmproj_embd(clp_ctx);
            const int n_embd_llm  = llama_n_embd(model);
            if (n_embd_clip != n_embd_llm) {
-                LOG("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_embd_clip, n_embd_llm);
+                LOG_TEE("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_embd_clip, n_embd_llm);
                llama_free(ctx);
                llama_free_model(model);
                return false;
@@ -523,21 +490,11 @@ struct llama_server_context
        std::vector<char> buf(1);
        int res = llama_chat_apply_template(model, nullptr, chat, 1, true, buf.data(), buf.size());
        if (res < 0) {
-            LOG_ERR("The chat template comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", __func__);
+            LOG_ERROR("The chat template comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {});
            sparams.chat_template = "<|im_start|>"; // llama_chat_apply_template only checks if <|im_start|> exist in the template
        }
    }

-    llama_client_slot* get_active_slot() {
-        for (llama_client_slot& slot : slots) {
-            // Check if the slot is currently processing
-            if (slot.is_processing()) {
-                return &slot;  // Return the active slot
-            }
-        }
-        return nullptr;  // No active slot found
-    }
-
    void initialize() {
        // create slots
        all_slots_are_idle = true;
@@ -611,12 +568,12 @@ struct llama_server_context
                    std::vector<llama_token> p;
                    if (first)
                    {
-                        p = common_tokenize(ctx, s, add_bos, TMP_FORCE_SPECIAL);
+                        p = ::llama_tokenize(ctx, s, add_bos, TMP_FORCE_SPECIAL);
                        first = false;
                    }
                    else
                    {
-                        p = common_tokenize(ctx, s, false, TMP_FORCE_SPECIAL);
+                        p = ::llama_tokenize(ctx, s, false, TMP_FORCE_SPECIAL);
                    }
                    prompt_tokens.insert(prompt_tokens.end(), p.begin(), p.end());
                }
@@ -633,7 +590,7 @@ struct llama_server_context
        else
        {
            auto s = json_prompt.template get<std::string>();
-            prompt_tokens = common_tokenize(ctx, s, add_bos, TMP_FORCE_SPECIAL);
+            prompt_tokens = ::llama_tokenize(ctx, s, add_bos, TMP_FORCE_SPECIAL);
        }

        return prompt_tokens;
@@ -662,7 +619,7 @@ struct llama_server_context

    bool launch_slot_with_data(llama_client_slot* &slot, json data) {
        slot_params default_params;
-        common_sampler_params default_sparams;
+        llama_sampling_params default_sparams;
 
        slot->params.stream             = json_value(data, "stream",            false);
        slot->params.cache_prompt       = json_value(data, "cache_prompt",      false);
@@ -671,7 +628,7 @@ struct llama_server_context
        slot->sparams.top_p             = json_value(data, "top_p",             default_sparams.top_p);
        slot->sparams.min_p             = json_value(data, "min_p",             default_sparams.min_p);
        slot->sparams.tfs_z             = json_value(data, "tfs_z",             default_sparams.tfs_z);
-        slot->sparams.typ_p             = json_value(data, "typical_p",         default_sparams.typ_p);
+        slot->sparams.typical_p         = json_value(data, "typical_p",         default_sparams.typical_p);
        slot->sparams.temp              = json_value(data, "temperature",       default_sparams.temp);
        slot->sparams.dynatemp_range    = json_value(data, "dynatemp_range",    default_sparams.dynatemp_range);
        slot->sparams.dynatemp_exponent = json_value(data, "dynatemp_exponent", default_sparams.dynatemp_exponent);
@@ -684,7 +641,7 @@ struct llama_server_context
        slot->sparams.mirostat_eta      = json_value(data, "mirostat_eta",      default_sparams.mirostat_eta);
        slot->sparams.penalize_nl       = json_value(data, "penalize_nl",       default_sparams.penalize_nl);
        slot->params.n_keep             = json_value(data, "n_keep",            slot->params.n_keep);
-        slot->sparams.seed               = json_value(data, "seed",              default_sparams.seed);
+        slot->params.seed               = json_value(data, "seed",              default_params.seed);
        slot->sparams.grammar           = json_value(data, "grammar",           default_sparams.grammar);
        slot->sparams.n_probs           = json_value(data, "n_probs",           default_sparams.n_probs);
        slot->sparams.min_keep          = json_value(data, "min_keep",          default_sparams.min_keep);
@@ -708,7 +665,6 @@ struct llama_server_context
            slot->params.input_prefix = "";
        }

-
        if (data.count("input_suffix") != 0)
        {
            slot->params.input_suffix = data["input_suffix"];
@@ -727,10 +683,6 @@ struct llama_server_context
            slot->prompt = "";
        }

-        if (json_value(data, "ignore_eos", false)) {
-                slot->sparams.logit_bias.push_back({llama_token_eos(model), -INFINITY});
-        }
-        /*
        slot->sparams.penalty_prompt_tokens.clear();
        slot->sparams.use_penalty_prompt_tokens = false;
        const auto &penalty_prompt = data.find("penalty_prompt");
@@ -766,10 +718,14 @@ struct llama_server_context
                slot->sparams.use_penalty_prompt_tokens = true;
            }
        }
-      */

        slot->sparams.logit_bias.clear();

+        if (json_value(data, "ignore_eos", false))
+        {
+            slot->sparams.logit_bias[llama_token_eos(model)] = -INFINITY;
+        }
+
        const auto &logit_bias = data.find("logit_bias");
        if (logit_bias != data.end() && logit_bias->is_array())
        {
@@ -797,21 +753,21 @@ struct llama_server_context
                        llama_token tok = el[0].get<llama_token>();
                        if (tok >= 0 && tok < n_vocab)
                        {
-                            slot->sparams.logit_bias.push_back({tok, bias});
+                            slot->sparams.logit_bias[tok] = bias;
                        }
                    }
                    else if (el[0].is_string())
                    {
-                        auto toks = common_tokenize(model, el[0].get<std::string>(), false);
+                        auto toks = llama_tokenize(model, el[0].get<std::string>(), false);
                        for (auto tok : toks)
                        {
-                            slot->sparams.logit_bias.push_back({tok, bias});
+                            slot->sparams.logit_bias[tok] = bias;
                        }
                    }
                }
            }
        }
-        
+
        slot->params.antiprompt.clear();

        const auto &stop = data.find("stop");
@@ -825,22 +781,24 @@ struct llama_server_context
                }
            }
        }
-        
-        const auto & samplers = data.find("samplers");
-        if (samplers != data.end() && samplers->is_array()) {
+
+        const auto &samplers_sequence = data.find("samplers");
+        if (samplers_sequence != data.end() && samplers_sequence->is_array())
+        {
            std::vector<std::string> sampler_names;
-                for (const auto & name : *samplers) {
-                    if (name.is_string()) {
-                        sampler_names.emplace_back(name);
-                    }
+            for (const auto &sampler_name : *samplers_sequence)
+            {
+                if (sampler_name.is_string())
+                {
+                    sampler_names.emplace_back(sampler_name);
                }
-                slot->sparams.samplers = common_sampler_types_from_names(sampler_names, false);
+            }
+            slot->sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, false);
        }
        else
        {
-                slot->sparams.samplers = default_sparams.samplers;
+            slot->sparams.samplers_sequence = default_sparams.samplers_sequence;
        }
-        

        if (multimodal)
        {
@@ -856,11 +814,10 @@ struct llama_server_context
                    img_sl.img_data = clip_image_u8_init();
                    if (!clip_image_load_from_bytes(image_buffer.data(), image_buffer.size(), img_sl.img_data))
                    {
-                        LOG_ERR("%s: failed to load image, slot_id: %d, img_sl_id: %d", 
-                             __func__,
-                             slot->id,
-                             img_sl.id
-                        );
+                        LOG_ERROR("failed to load image", {
+                            {"slot_id",   slot->id},
+                            {"img_sl_id", img_sl.id}
+                        });
                        return false;
                    }
                    LOG_VERBOSE("image loaded", {
@@ -898,12 +855,12 @@ struct llama_server_context
                                    }
                                }
                                if (!found) {
-                                    LOG("ERROR: Image with id: %i, not found.\n", img_id);
+                                    LOG_TEE("ERROR: Image with id: %i, not found.\n", img_id);
                                    slot->images.clear();
                                    return false;
                                }
                            } catch (const std::invalid_argument& e) {
-                                LOG("Invalid image number id in prompt\n");
+                                LOG_TEE("Invalid image number id in prompt\n");
                                slot->images.clear();
                                return false;
                            }
@@ -918,10 +875,10 @@ struct llama_server_context

        if (slot->ctx_sampling != nullptr)
        {
-            common_sampler_free(slot->ctx_sampling);
+            llama_sampling_free(slot->ctx_sampling);
        }
-        slot->ctx_sampling = common_sampler_init(model, slot->sparams);
-        //llama_set_rng_seed(ctx, slot->params.seed);
+        slot->ctx_sampling = llama_sampling_init(slot->sparams);
+        llama_set_rng_seed(ctx, slot->params.seed);
        slot->command = LOAD_PROMPT;

        all_slots_are_idle = false;
@@ -931,7 +888,7 @@ struct llama_server_context
            {"task_id", slot->task_id},
        });

-      //  LOG("sampling: \n%s\n", llama_sampling_print(slot->sparams).c_str());
+        LOG_TEE("sampling: \n%s\n", llama_sampling_print(slot->sparams).c_str());

        return true;
    }
@@ -947,13 +904,13 @@ struct llama_server_context
        system_tokens.clear();

        if (!system_prompt.empty()) {
-            system_tokens = common_tokenize(ctx, system_prompt, add_bos_token);
+            system_tokens = ::llama_tokenize(ctx, system_prompt, add_bos_token);

-            common_batch_clear(batch);
+            llama_batch_clear(batch);

            for (int i = 0; i < (int)system_tokens.size(); ++i)
            {
-                common_batch_add(batch, system_tokens[i], i, { 0 }, false);
+                llama_batch_add(batch, system_tokens[i], i, { 0 }, false);
            }

            for (int32_t i = 0; i < (int32_t) batch.n_tokens; i += params.n_batch)
@@ -967,10 +924,11 @@ struct llama_server_context
                    batch.n_seq_id + i,
                    batch.seq_id   + i,
                    batch.logits   + i,
+                    0, 0, 0, // unused
                };
                if (llama_decode(ctx, batch_view) != 0)
                {
-                    LOG("%s: llama_decode() failed\n", __func__);
+                    LOG_TEE("%s: llama_decode() failed\n", __func__);
                    return;
                }
            }
@@ -982,7 +940,7 @@ struct llama_server_context
            }
        }

-        LOG("system prompt updated\n");
+        LOG_TEE("system prompt updated\n");
        system_need_update = false;
    }

@@ -1041,20 +999,18 @@ struct llama_server_context

    bool process_token(completion_token_output &result, llama_client_slot &slot) {
        // remember which tokens were sampled - used for repetition penalties during sampling
-        const std::string token_str = common_token_to_piece(ctx, result.tok);
+        const std::string token_str = llama_token_to_piece(ctx, result.tok);
        slot.sampled = result.tok;

        // search stop word and delete it
        slot.generated_text += token_str;
        slot.has_next_token = true;

-/*
        if (slot.ctx_sampling->params.use_penalty_prompt_tokens && result.tok != -1)
        {
            // we can change penalty_prompt_tokens because it is always created from scratch each request
            slot.ctx_sampling->params.penalty_prompt_tokens.push_back(result.tok);
        }
-        */

        // check if there is incomplete UTF-8 character at the end
        bool incomplete = false;
@@ -1163,8 +1119,8 @@ struct llama_server_context
                continue;
            }

-            if (!llava_image_embed_make_with_clip_img(clp_ctx, params.cpuparams.n_threads, img.img_data, &img.image_embedding, &img.image_tokens)) {
-                LOG("Error processing the given image");
+            if (!llava_image_embed_make_with_clip_img(clp_ctx, params.n_threads, img.img_data, &img.image_embedding, &img.image_tokens)) {
+                LOG_TEE("Error processing the given image");
                return false;
            }

@@ -1176,7 +1132,7 @@ struct llama_server_context

    void send_error(task_server& task, const std::string &error)
    {
-        LOG("task %i - error: %s\n", task.id, error.c_str());
+        LOG_TEE("task %i - error: %s\n", task.id, error.c_str());
        task_result res;
        res.id = task.id;
        res.multitask_id = task.multitask_id;
@@ -1188,11 +1144,13 @@ struct llama_server_context

    json get_formated_generation(llama_client_slot &slot)
    {
-        std::vector<std::string> samplers;
-        samplers.reserve(slot.sparams.samplers.size());
-        for (const auto & sampler : slot.sparams.samplers)
+        const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(model));
+        const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() &&
+                                eos_bias->second < 0.0f && std::isinf(eos_bias->second);
+        std::vector<std::string> samplers_sequence;
+        for (const auto &sampler_type : slot.sparams.samplers_sequence)
        {
-            samplers.emplace_back(common_sampler_type_to_str(sampler));
+            samplers_sequence.emplace_back(llama_sampling_type_to_str(sampler_type));
        }

        return json {
@@ -1207,11 +1165,13 @@ struct llama_server_context
            {"top_p",             slot.sparams.top_p},
            {"min_p",             slot.sparams.min_p},
            {"tfs_z",             slot.sparams.tfs_z},
-            {"typical_p",         slot.sparams.typ_p},
+            {"typical_p",         slot.sparams.typical_p},
            {"repeat_last_n",     slot.sparams.penalty_last_n},
            {"repeat_penalty",    slot.sparams.penalty_repeat},
            {"presence_penalty",  slot.sparams.penalty_present},
            {"frequency_penalty", slot.sparams.penalty_freq},
+            {"penalty_prompt_tokens", slot.sparams.penalty_prompt_tokens},
+            {"use_penalty_prompt_tokens", slot.sparams.use_penalty_prompt_tokens},
            {"mirostat",          slot.sparams.mirostat},
            {"mirostat_tau",      slot.sparams.mirostat_tau},
            {"mirostat_eta",      slot.sparams.mirostat_eta},
@@ -1219,13 +1179,13 @@ struct llama_server_context
            {"stop",              slot.params.antiprompt},
            {"n_predict",         slot.params.n_predict},
            {"n_keep",            params.n_keep},
-            {"ignore_eos",        slot.sparams.ignore_eos},
+            {"ignore_eos",        ignore_eos},
            {"stream",            slot.params.stream},
-      //      {"logit_bias",        slot.sparams.logit_bias},
+            {"logit_bias",        slot.sparams.logit_bias},
            {"n_probs",           slot.sparams.n_probs},
            {"min_keep",          slot.sparams.min_keep},
            {"grammar",           slot.sparams.grammar},
-            {"samplers",          samplers}
+            {"samplers",          samplers_sequence}
        };
    }

@@ -1248,7 +1208,7 @@ struct llama_server_context
        if (slot.sparams.n_probs > 0)
        {
            std::vector<completion_token_output> probs_output = {};
-            const std::vector<llama_token> to_send_toks = common_tokenize(ctx, tkn.text_to_send, false);
+            const std::vector<llama_token> to_send_toks = llama_tokenize(ctx, tkn.text_to_send, false);
            size_t probs_pos      = std::min(slot.sent_token_probs_index,                       slot.generated_token_probs.size());
            size_t probs_stop_pos = std::min(slot.sent_token_probs_index + to_send_toks.size(), slot.generated_token_probs.size());
            if (probs_pos < probs_stop_pos)
@@ -1300,7 +1260,7 @@ struct llama_server_context
            std::vector<completion_token_output> probs = {};
            if (!slot.params.stream && slot.stopped_word)
            {
-                const std::vector<llama_token> stop_word_toks = common_tokenize(ctx, slot.stopping_word, false);
+                const std::vector<llama_token> stop_word_toks = llama_tokenize(ctx, slot.stopping_word, false);
                probs = std::vector<completion_token_output>(slot.generated_token_probs.begin(), slot.generated_token_probs.end() - stop_word_toks.size());
            }
            else
@@ -1411,10 +1371,11 @@ struct llama_server_context
                    batch.n_seq_id + i,
                    batch.seq_id   + i,
                    batch.logits   + i,
+                    0, 0, 0, // unused
                };
                if (llama_decode(ctx, batch_view))
                {
-                    LOG("%s : failed to eval\n", __func__);
+                    LOG_TEE("%s : failed to eval\n", __func__);
                    return false;
                }
            }
@@ -1429,18 +1390,17 @@ struct llama_server_context
                }

                const int n_embd = llama_n_embd(model);
-                float * embd = img.image_embedding + i * n_embd;
-                llava_embd_batch llava_batch = llava_embd_batch(embd, n_eval, slot.n_past, 0);
-                if (llama_decode(ctx, llava_batch.batch))
+                llama_batch batch_img = { n_eval, nullptr, (img.image_embedding + i * n_embd), nullptr, nullptr, nullptr, nullptr, slot.n_past, 1, 0, };
+                if (llama_decode(ctx, batch_img))
                {
-                    LOG("%s : failed to eval image\n", __func__);
+                    LOG_TEE("%s : failed to eval image\n", __func__);
                    return false;
                }
                slot.n_past += n_eval;
            }
            image_idx++;

-            common_batch_clear(batch);
+            llama_batch_clear(batch);

            // append prefix of next image
            const auto json_prompt = (image_idx >= (int) slot.images.size()) ?
@@ -1450,7 +1410,7 @@ struct llama_server_context
            std::vector<llama_token> append_tokens = tokenize(json_prompt, false); // has next image
            for (int i = 0; i < (int) append_tokens.size(); ++i)
            {
-                common_batch_add(batch, append_tokens[i], system_tokens.size() + slot.n_past, { slot.id }, true);
+                llama_batch_add(batch, append_tokens[i], system_tokens.size() + slot.n_past, { slot.id }, true);
                slot.n_past += 1;
            }
        }
@@ -1582,7 +1542,7 @@ struct llama_server_context
            update_system_prompt();
        }

-        common_batch_clear(batch);
+        llama_batch_clear(batch);

        if (all_slots_are_idle)
        {
@@ -1616,7 +1576,7 @@ struct llama_server_context
                    slot.n_past = 0;
                    slot.truncated = false;
                    slot.has_next_token = true;
-                    LOG("Context exhausted. Slot %d released (%d tokens in cache)\n", slot.id, (int) slot.cache_tokens.size());
+                    LOG_TEE("Context exhausted. Slot %d released (%d tokens in cache)\n", slot.id, (int) slot.cache_tokens.size());

                    continue;
                    // END LOCALAI changes
@@ -1660,7 +1620,7 @@ struct llama_server_context

            // TODO: we always have to take into account the "system_tokens"
            //       this is not great and needs to be improved somehow
-            common_batch_add(batch, slot.sampled, system_tokens.size() + slot_npast, { slot.id }, true);
+            llama_batch_add(batch, slot.sampled, system_tokens.size() + slot_npast, { slot.id }, true);
            slot.n_past += 1;
        }

@@ -1754,7 +1714,7 @@ struct llama_server_context

                    if (!slot.params.cache_prompt)
                    {
-                        common_sampler_reset(slot.ctx_sampling);
+                        llama_sampling_reset(slot.ctx_sampling);

                        slot.n_past = 0;
                        slot.n_past_se = 0;
@@ -1766,7 +1726,7 @@ struct llama_server_context
                        // push the prompt into the sampling context (do not apply grammar)
                        for (auto &token : prompt_tokens)
                        {
-                            common_sampler_accept(slot.ctx_sampling, token, false);
+                            llama_sampling_accept(slot.ctx_sampling, ctx, token, false);
                        }

                        slot.n_past = common_part(slot.cache_tokens, prompt_tokens);
@@ -1858,17 +1818,16 @@ struct llama_server_context
                                ga_i += ga_w/ga_n;
                            }
                        }
-                        common_batch_add(batch, prefix_tokens[slot.n_past], system_tokens.size() + slot_npast, {slot.id }, false);
+                        llama_batch_add(batch, prefix_tokens[slot.n_past], system_tokens.size() + slot_npast, {slot.id }, false);
                        slot_npast++;
                    }

                    if (has_images && !ingest_images(slot, n_batch))
                    {
-                        LOG_ERR("%s: failed processing images Slot id : %d, Task id: %d", 
-                            __func__,
-                            slot.id,
-                            slot.task_id
-                        );
+                        LOG_ERROR("failed processing images", {
+                            "slot_id", slot.id,
+                            "task_id", slot.task_id,
+                        });
                        // FIXME @phymbert: to be properly tested
                        //  early returning without changing the slot state will block the slot for ever
                        // no one at the moment is checking the return value
@@ -1908,10 +1867,10 @@ struct llama_server_context
                        const int bd = (slot.ga_w / slot.ga_n) * (slot.ga_n - 1);
                        const int dd = (slot.ga_w / slot.ga_n) - ib * bd - slot.ga_w;

-                        LOG("\n");
-                        LOG("shift: [%6d, %6d] + %6d -> [%6d, %6d]\n", slot.ga_i, slot.n_past_se, ib * bd, slot.ga_i + ib * bd, slot.n_past_se + ib * bd);
-                        LOG("div:   [%6d, %6d] / %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd, slot.ga_i + ib * bd + slot.ga_w, slot.ga_n, (slot.ga_i + ib * bd) / slot.ga_n, (slot.ga_i + ib * bd + slot.ga_w) / slot.ga_n);
-                        LOG("shift: [%6d, %6d] + %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd + slot.ga_w, slot.n_past_se + ib * bd, dd, slot.ga_i + ib * bd + slot.ga_w + dd, slot.n_past_se + ib * bd + dd);
+                        LOG_TEE("\n");
+                        LOG_TEE("shift: [%6d, %6d] + %6d -> [%6d, %6d]\n", slot.ga_i, slot.n_past_se, ib * bd, slot.ga_i + ib * bd, slot.n_past_se + ib * bd);
+                        LOG_TEE("div:   [%6d, %6d] / %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd, slot.ga_i + ib * bd + slot.ga_w, slot.ga_n, (slot.ga_i + ib * bd) / slot.ga_n, (slot.ga_i + ib * bd + slot.ga_w) / slot.ga_n);
+                        LOG_TEE("shift: [%6d, %6d] + %6d -> [%6d, %6d]\n", slot.ga_i + ib * bd + slot.ga_w, slot.n_past_se + ib * bd, dd, slot.ga_i + ib * bd + slot.ga_w + dd, slot.n_past_se + ib * bd + dd);

                        llama_kv_cache_seq_add(ctx, slot.id, slot.ga_i, slot.n_past_se, ib * bd);
                        llama_kv_cache_seq_div(ctx, slot.id, slot.ga_i + ib * bd, slot.ga_i + ib * bd + slot.ga_w,slot.ga_n);
@@ -1921,7 +1880,7 @@ struct llama_server_context

                        slot.ga_i += slot.ga_w / slot.ga_n;

-                        LOG("\nn_past_old = %d, n_past = %d, ga_i = %d\n\n", slot.n_past_se + bd, slot.n_past_se, slot.ga_i);
+                        LOG_TEE("\nn_past_old = %d, n_past = %d, ga_i = %d\n\n", slot.n_past_se + bd, slot.n_past_se, slot.ga_i);
                    }
                    slot.n_past_se += n_tokens;
                }
@@ -1936,6 +1895,7 @@ struct llama_server_context
                batch.n_seq_id + i,
                batch.seq_id   + i,
                batch.logits   + i,
+                0, 0, 0, // unused
            };

            const int ret = llama_decode(ctx, batch_view);
@@ -1945,11 +1905,11 @@ struct llama_server_context
                if (n_batch == 1 || ret < 0)
                {
                    // if you get here, it means the KV cache is full - try increasing it via the context size
-                    LOG("%s : failed to decode the batch, n_batch = %d, ret = %d\n", __func__, n_batch, ret);
+                    LOG_TEE("%s : failed to decode the batch, n_batch = %d, ret = %d\n", __func__, n_batch, ret);
                    return false;
                }

-                LOG("%s : failed to find free space in the KV cache, retrying with smaller n_batch = %d\n", __func__, n_batch / 2);
+                LOG_TEE("%s : failed to find free space in the KV cache, retrying with smaller n_batch = %d\n", __func__, n_batch / 2);

                // retry with half the batch size to try to find a free slot in the KV cache
                n_batch /= 2;
@@ -1974,9 +1934,9 @@ struct llama_server_context
                }

                completion_token_output result;
-                const llama_token id = common_sampler_sample(slot.ctx_sampling, ctx, slot.i_batch - i);
+                const llama_token id = llama_sampling_sample(slot.ctx_sampling, ctx, NULL, slot.i_batch - i);

-                common_sampler_accept(slot.ctx_sampling, id, true);
+                llama_sampling_accept(slot.ctx_sampling, ctx, id, true);

                slot.n_decoded += 1;
                if (slot.n_decoded == 1)
@@ -1986,14 +1946,19 @@ struct llama_server_context
                    metrics.on_prompt_eval(slot);
                }

+                llama_token_data_array cur_p = { slot.ctx_sampling->cur.data(), slot.ctx_sampling->cur.size(), false };
                result.tok = id;
-                const auto * cur_p = common_sampler_get_candidates(slot.ctx_sampling);

-                for (size_t i = 0; i < (size_t) slot.sparams.n_probs; ++i) {
-                    result.probs.push_back({
-                        cur_p->data[i].id,
-                        i >= cur_p->size ? 0.0f : cur_p->data[i].p,
-                    });
+                const int32_t n_probs = slot.sparams.n_probs;
+                if (slot.sparams.temp <= 0 && n_probs > 0)
+                {
+                    // for llama_sample_token_greedy we need to sort candidates
+                    llama_sample_softmax(ctx, &cur_p);
+                }
+
+                for (size_t i = 0; i < std::min(cur_p.size, (size_t)n_probs); ++i)
+                {
+                    result.probs.push_back({cur_p.data[i].id, cur_p.data[i].p});
                }

                if (!process_token(result, slot))
@@ -2040,7 +2005,7 @@ static json format_partial_response(
 struct token_translator
 {
    llama_context * ctx;
-    std::string operator()(llama_token tok)                    const { return common_token_to_piece(ctx, tok); }
+    std::string operator()(llama_token tok)                    const { return llama_token_to_piece(ctx, tok); }
    std::string operator()(const completion_token_output &cto) const { return (*this)(cto.tok); }
 };

@@ -2147,9 +2112,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
    data["ignore_eos"] = predict->ignoreeos();
    data["embeddings"] = predict->embeddings();

-    // Add the correlationid to json data
-    data["correlation_id"] = predict->correlationid();
-
    // for each image in the request, add the image data
    //
    for (int i = 0; i < predict->images_size(); i++) {
@@ -2234,7 +2196,7 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, llama
 // }

 static void params_parse(const backend::ModelOptions* request,
-                                common_params & params) {
+                                gpt_params & params) {
   
    // this is comparable to: https://github.com/ggerganov/llama.cpp/blob/d9b33fe95bd257b36c84ee5769cc048230067d6f/examples/server/server.cpp#L1809

@@ -2248,7 +2210,7 @@ static void params_parse(const backend::ModelOptions* request,
    params.model_alias =  request->modelfile();
    params.n_ctx = request->contextsize();
    //params.memory_f16 = request->f16memory();
-    params.cpuparams.n_threads = request->threads();
+    params.n_threads = request->threads();
    params.n_gpu_layers = request->ngpulayers();
    params.n_batch = request->nbatch();
    // Set params.n_parallel by environment variable (LLAMA_PARALLEL), defaults to 1
@@ -2342,7 +2304,7 @@ public:

  grpc::Status LoadModel(ServerContext* context, const backend::ModelOptions* request, backend::Result* result) {
    // Implement LoadModel RPC
-    common_params params;
+    gpt_params params;
    params_parse(request, params);

    llama_backend_init();
@@ -2388,11 +2350,6 @@ public:
                int32_t tokens_evaluated = result.result_json.value("tokens_evaluated", 0);
                reply.set_prompt_tokens(tokens_evaluated);

-                // Log Request Correlation Id
-                LOG_VERBOSE("correlation:", {
-                    { "id", data["correlation_id"] }
-                });
-
                // Send the reply
                writer->Write(reply);

@@ -2416,12 +2373,6 @@ public:
        std::string completion_text;
        task_result result = llama.queue_results.recv(task_id);
        if (!result.error && result.stop) {
-            
-            // Log Request Correlation Id
-            LOG_VERBOSE("correlation:", {
-                { "id", data["correlation_id"] }
-            });
-
            completion_text = result.result_json.value("content", "");
            int32_t tokens_predicted = result.result_json.value("tokens_predicted", 0);
            int32_t tokens_evaluated = result.result_json.value("tokens_evaluated", 0);
@@ -2461,31 +2412,6 @@ public:

        return grpc::Status::OK;
    }
-
-    grpc::Status GetMetrics(ServerContext* context, const backend::MetricsRequest* request, backend::MetricsResponse* response) {
-        llama_client_slot* active_slot = llama.get_active_slot();
-
-        if (active_slot != nullptr) {
-            // Calculate the tokens per second using existing logic
-            double tokens_per_second = 1e3 / active_slot->t_token_generation * active_slot->n_decoded;
-
-            // Populate the response with metrics
-            response->set_slot_id(active_slot->id);
-            response->set_prompt_json_for_slot(active_slot->prompt.dump());
-            response->set_tokens_per_second(tokens_per_second);
-            response->set_tokens_generated(active_slot->n_decoded);
-            response->set_prompt_tokens_processed(active_slot->num_prompt_tokens_processed);
-        } else {
-            // Handle case when no active slot exists
-            response->set_slot_id(0);
-            response->set_prompt_json_for_slot("");
-            response->set_tokens_per_second(0);
-            response->set_tokens_generated(0);
-            response->set_prompt_tokens_processed(0);
-        }
-
-        return grpc::Status::OK;
-    } 
 };

 void RunServer(const std::string& server_address) {
--- a/backend/cpp/llama/patches/01-llava.patch
+++ b/backend/cpp/llama/patches/01-llava.patch
@@ -1,13 +0,0 @@
-diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
-index 342042ff..224db9b5 100644
--- a/examples/llava/clip.cpp
-+++ b/examples/llava/clip.cpp
-@@ -2419,7 +2419,7 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima
-             struct ggml_tensor * patches = ggml_graph_get_tensor(gf, "patches");
-             int* patches_data = (int*)malloc(ggml_nbytes(patches));
-             for (int i = 0; i < num_patches; i++) {
-                patches_data[i] = i + 1;
-+                patches_data[i] = i;
-             }
-             ggml_backend_tensor_set(patches, patches_data, 0, ggml_nbytes(patches));
-             free(patches_data);
--- a/backend/cpp/llama/prepare.sh
+++ b/backend/cpp/llama/prepare.sh
@@ -1,12 +1,5 @@
 #!/bin/bash

-## Patches
-## Apply patches from the `patches` directory
-for patch in $(ls patches); do
-    echo "Applying patch $patch"
-    patch -d llama.cpp/ -p1 < patches/$patch
-done 
-
 cp -r CMakeLists.txt llama.cpp/examples/grpc-server/
 cp -r grpc-server.cpp llama.cpp/examples/grpc-server/
 cp -rfv json.hpp llama.cpp/examples/grpc-server/
--- a/backend/cpp/llama/utils.hpp
+++ b/backend/cpp/llama/utils.hpp
@@ -480,4 +480,31 @@ static inline std::vector<uint8_t> base64_decode(const std::string & encoded_str
    }

    return ret;
+}
+
+//
+// random string / id
+//
+
+static std::string random_string()
+{
+    static const std::string str("0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz");
+
+    std::random_device rd;
+    std::mt19937 generator(rd());
+
+    std::string result(32, ' ');
+
+    for (int i = 0; i < 32; ++i) {
+        result[i] = str[generator() % str.size()];
+    }
+
+    return result;
+}
+
+static std::string gen_chatcmplid()
+{
+    std::stringstream chatcmplid;
+    chatcmplid << "chatcmpl-" << random_string();
+    return chatcmplid.str();
 }
--- a/backend/go/transcribe/whisper/main.go
+++ b/backend/go/transcribe/whisper/main.go
--- a/backend/go/transcribe/transcript.go
+++ b/backend/go/transcribe/transcript.go
@@ -0,0 +1,104 @@
+package main
+
+import (
+	"fmt"
+	"os"
+	"os/exec"
+	"path/filepath"
+
+	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/go-audio/wav"
+	"github.com/mudler/LocalAI/core/schema"
+)
+
+func ffmpegCommand(args []string) (string, error) {
+	cmd := exec.Command("ffmpeg", args...) // Constrain this to ffmpeg to permit security scanner to see that the command is safe.
+	cmd.Env = os.Environ()
+	out, err := cmd.CombinedOutput()
+	return string(out), err
+}
+
+// AudioToWav converts audio to wav for transcribe.
+// TODO: use https://github.com/mccoyst/ogg?
+func audioToWav(src, dst string) error {
+	commandArgs := []string{"-i", src, "-format", "s16le", "-ar", "16000", "-ac", "1", "-acodec", "pcm_s16le", dst}
+	out, err := ffmpegCommand(commandArgs)
+	if err != nil {
+		return fmt.Errorf("error: %w out: %s", err, out)
+	}
+	return nil
+}
+
+func Transcript(model whisper.Model, audiopath, language string, translate bool, threads uint) (schema.TranscriptionResult, error) {
+	res := schema.TranscriptionResult{}
+
+	dir, err := os.MkdirTemp("", "whisper")
+	if err != nil {
+		return res, err
+	}
+	defer os.RemoveAll(dir)
+
+	convertedPath := filepath.Join(dir, "converted.wav")
+
+	if err := audioToWav(audiopath, convertedPath); err != nil {
+		return res, err
+	}
+
+	// Open samples
+	fh, err := os.Open(convertedPath)
+	if err != nil {
+		return res, err
+	}
+	defer fh.Close()
+
+	// Read samples
+	d := wav.NewDecoder(fh)
+	buf, err := d.FullPCMBuffer()
+	if err != nil {
+		return res, err
+	}
+
+	data := buf.AsFloat32Buffer().Data
+
+	// Process samples
+	context, err := model.NewContext()
+	if err != nil {
+		return res, err
+
+	}
+
+	context.SetThreads(threads)
+
+	if language != "" {
+		context.SetLanguage(language)
+	} else {
+		context.SetLanguage("auto")
+	}
+
+	if translate {
+		context.SetTranslate(true)
+	}
+
+	if err := context.Process(data, nil, nil); err != nil {
+		return res, err
+	}
+
+	for {
+		s, err := context.NextSegment()
+		if err != nil {
+			break
+		}
+
+		var tokens []int
+		for _, t := range s.Tokens {
+			tokens = append(tokens, t.Id)
+		}
+
+		segment := schema.Segment{Id: s.Num, Text: s.Text, Start: s.Start, End: s.End, Tokens: tokens}
+		res.Segments = append(res.Segments, segment)
+
+		res.Text += s.Text
+	}
+
+	return res, nil
+}
--- a/backend/go/transcribe/whisper.go
+++ b/backend/go/transcribe/whisper.go
@@ -0,0 +1,26 @@
+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/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/mudler/LocalAI/core/schema"
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+)
+
+type Whisper struct {
+	base.SingleThread
+	whisper whisper.Model
+}
+
+func (sd *Whisper) Load(opts *pb.ModelOptions) error {
+	// Note: the Model here is a path to a directory containing the model files
+	w, err := whisper.New(opts.ModelFile)
+	sd.whisper = w
+	return err
+}
+
+func (sd *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (schema.TranscriptionResult, error) {
+	return Transcript(sd.whisper, opts.Dst, opts.Language, opts.Translate, uint(opts.Threads))
+}
--- a/backend/go/transcribe/whisper/whisper.go
+++ b/backend/go/transcribe/whisper/whisper.go
@@ -1,105 +0,0 @@
-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 (
-	"os"
-	"path/filepath"
-
-	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
-	"github.com/go-audio/wav"
-	"github.com/mudler/LocalAI/pkg/grpc/base"
-	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
-	"github.com/mudler/LocalAI/pkg/utils"
-)
-
-type Whisper struct {
-	base.SingleThread
-	whisper whisper.Model
-}
-
-func (sd *Whisper) Load(opts *pb.ModelOptions) error {
-	// Note: the Model here is a path to a directory containing the model files
-	w, err := whisper.New(opts.ModelFile)
-	sd.whisper = w
-	return err
-}
-
-func (sd *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
-
-	dir, err := os.MkdirTemp("", "whisper")
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-	defer os.RemoveAll(dir)
-
-	convertedPath := filepath.Join(dir, "converted.wav")
-
-	if err := utils.AudioToWav(opts.Dst, convertedPath); err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	// Open samples
-	fh, err := os.Open(convertedPath)
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-	defer fh.Close()
-
-	// Read samples
-	d := wav.NewDecoder(fh)
-	buf, err := d.FullPCMBuffer()
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	data := buf.AsFloat32Buffer().Data
-
-	// Process samples
-	context, err := sd.whisper.NewContext()
-	if err != nil {
-		return pb.TranscriptResult{}, err
-
-	}
-
-	context.SetThreads(uint(opts.Threads))
-
-	if opts.Language != "" {
-		context.SetLanguage(opts.Language)
-	} else {
-		context.SetLanguage("auto")
-	}
-
-	if opts.Translate {
-		context.SetTranslate(true)
-	}
-
-	if err := context.Process(data, nil, nil); err != nil {
-		return pb.TranscriptResult{}, err
-	}
-
-	segments := []*pb.TranscriptSegment{}
-	text := ""
-	for {
-		s, err := context.NextSegment()
-		if err != nil {
-			break
-		}
-
-		var tokens []int32
-		for _, t := range s.Tokens {
-			tokens = append(tokens, int32(t.Id))
-		}
-
-		segment := &pb.TranscriptSegment{Id: int32(s.Num), Text: s.Text, Start: int64(s.Start), End: int64(s.End), Tokens: tokens}
-		segments = append(segments, segment)
-
-		text += s.Text
-	}
-
-	return pb.TranscriptResult{
-		Segments: segments,
-		Text:     text,
-	}, nil
-
-}
--- a/backend/python/autogptq/requirements-cublas11.txt
+++ b/backend/python/autogptq/requirements-cublas11.txt
@@ -1,2 +1,2 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
+torch
--- a/backend/python/autogptq/requirements-cublas12.txt
+++ b/backend/python/autogptq/requirements-cublas12.txt
@@ -1 +1 @@
-torch==2.4.1
+torch
--- a/backend/python/autogptq/requirements-hipblas.txt
+++ b/backend/python/autogptq/requirements-hipblas.txt
@@ -1,2 +1,2 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.4.1+rocm6.0
+torch
--- a/backend/python/autogptq/requirements-intel.txt
+++ b/backend/python/autogptq/requirements-intel.txt
@@ -2,4 +2,4 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/autogptq/requirements.txt
+++ b/backend/python/autogptq/requirements.txt
@@ -1,6 +1,6 @@
 accelerate
 auto-gptq==0.7.1
-grpcio==1.67.0
+grpcio==1.65.4
 protobuf
 certifi
 transformers
--- a/backend/python/bark/requirements-cpu.txt
+++ b/backend/python/bark/requirements-cpu.txt
@@ -1,4 +1,4 @@
 transformers
 accelerate
-torch==2.4.1
-torchaudio==2.4.1
+torch
+torchaudio
--- a/backend/python/bark/requirements-cublas11.txt
+++ b/backend/python/bark/requirements-cublas11.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
-torchaudio==2.4.1+cu118
+torch
+torchaudio
 transformers
 accelerate
--- a/backend/python/bark/requirements-cublas12.txt
+++ b/backend/python/bark/requirements-cublas12.txt
@@ -1,4 +1,4 @@
-torch==2.4.1
-torchaudio==2.4.1
+torch
+torchaudio
 transformers
 accelerate
--- a/backend/python/bark/requirements-hipblas.txt
+++ b/backend/python/bark/requirements-hipblas.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.4.1+rocm6.0
-torchaudio==2.4.1+rocm6.0
+torch
+torchaudio
 transformers
 accelerate
--- a/backend/python/bark/requirements-intel.txt
+++ b/backend/python/bark/requirements-intel.txt
@@ -3,6 +3,6 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
 transformers
 accelerate
--- a/backend/python/bark/requirements.txt
+++ b/backend/python/bark/requirements.txt
@@ -1,4 +1,4 @@
 bark==0.1.5
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
 certifi
--- a/backend/python/common/template/requirements.txt
+++ b/backend/python/common/template/requirements.txt
@@ -1,2 +1,2 @@
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
--- a/backend/python/coqui/requirements-cpu.txt
+++ b/backend/python/coqui/requirements-cpu.txt
@@ -1,4 +1,3 @@
 transformers
 accelerate
-torch==2.4.1
-coqui-tts
+torch
--- a/backend/python/coqui/requirements-cublas11.txt
+++ b/backend/python/coqui/requirements-cublas11.txt
@@ -1,6 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
-torchaudio==2.4.1+cu118
+torch
+torchaudio
 transformers
-accelerate
-coqui-tts
+accelerate
--- a/backend/python/coqui/requirements-cublas12.txt
+++ b/backend/python/coqui/requirements-cublas12.txt
@@ -1,5 +1,4 @@
-torch==2.4.1
-torchaudio==2.4.1
+torch
+torchaudio
 transformers
-accelerate
-coqui-tts
+accelerate
--- a/backend/python/coqui/requirements-hipblas.txt
+++ b/backend/python/coqui/requirements-hipblas.txt
@@ -1,6 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.4.1+rocm6.0
-torchaudio==2.4.1+rocm6.0
+torch
+torchaudio
 transformers
-accelerate
-coqui-tts
+accelerate
--- a/backend/python/coqui/requirements-intel.txt
+++ b/backend/python/coqui/requirements-intel.txt
@@ -3,7 +3,6 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
 transformers
-accelerate
-coqui-tts
+accelerate
--- a/backend/python/coqui/requirements.txt
+++ b/backend/python/coqui/requirements.txt
@@ -1,4 +1,4 @@
-grpcio==1.67.0
+TTS==0.22.0
+grpcio==1.65.5
 protobuf
-certifi
-packaging==24.1
+certifi
--- a/backend/python/coqui/test.py
+++ b/backend/python/coqui/test.py
@@ -19,7 +19,7 @@ class TestBackendServicer(unittest.TestCase):
        This method sets up the gRPC service by starting the server
        """
        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
-        time.sleep(30)
+        time.sleep(10)

    def tearDown(self) -> None:
        """
--- a/backend/python/diffusers/backend.py
+++ b/backend/python/diffusers/backend.py
@@ -168,7 +168,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
            if request.CFGScale != 0:
                self.cfg_scale = request.CFGScale

-            clipmodel = "Lykon/dreamshaper-8"
+            clipmodel = "runwayml/stable-diffusion-v1-5"
            if request.CLIPModel != "":
                clipmodel = request.CLIPModel
            clipsubfolder = "text_encoder"
--- a/backend/python/diffusers/requirements-cpu.txt
+++ b/backend/python/diffusers/requirements-cpu.txt
@@ -5,5 +5,5 @@ accelerate
 compel
 peft
 sentencepiece
-torch==2.4.1
+torch
 optimum-quanto
--- a/backend/python/diffusers/requirements-cublas11.txt
+++ b/backend/python/diffusers/requirements-cublas11.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
+torch
 diffusers
 opencv-python
 transformers
--- a/backend/python/diffusers/requirements-cublas12.txt
+++ b/backend/python/diffusers/requirements-cublas12.txt
@@ -1,4 +1,4 @@
-torch==2.4.1
+torch
 diffusers
 opencv-python
 transformers
--- a/backend/python/diffusers/requirements-intel.txt
+++ b/backend/python/diffusers/requirements-intel.txt
@@ -3,7 +3,7 @@ intel-extension-for-pytorch
 torch
 torchvision
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==70.3.0 # https://github.com/mudler/LocalAI/issues/2406
 diffusers
 opencv-python
 transformers
--- a/backend/python/diffusers/requirements.txt
+++ b/backend/python/diffusers/requirements.txt
@@ -1,5 +1,5 @@
 setuptools
-grpcio==1.67.0
+grpcio==1.65.4
 pillow
 protobuf
 certifi
--- a/backend/python/diffusers/test.py
+++ b/backend/python/diffusers/test.py
@@ -53,7 +53,7 @@ class TestBackendServicer(unittest.TestCase):
            self.setUp()
            with grpc.insecure_channel("localhost:50051") as channel:
                stub = backend_pb2_grpc.BackendStub(channel)
-                response = stub.LoadModel(backend_pb2.ModelOptions(Model="Lykon/dreamshaper-8"))
+                response = stub.LoadModel(backend_pb2.ModelOptions(Model="runwayml/stable-diffusion-v1-5"))
                self.assertTrue(response.success)
                self.assertEqual(response.message, "Model loaded successfully")
        except Exception as err:
@@ -71,7 +71,7 @@ class TestBackendServicer(unittest.TestCase):
            self.setUp()
            with grpc.insecure_channel("localhost:50051") as channel:
                stub = backend_pb2_grpc.BackendStub(channel)
-                response = stub.LoadModel(backend_pb2.ModelOptions(Model="Lykon/dreamshaper-8"))
+                response = stub.LoadModel(backend_pb2.ModelOptions(Model="runwayml/stable-diffusion-v1-5"))
                print(response.message)
                self.assertTrue(response.success)
                image_req = backend_pb2.GenerateImageRequest(positive_prompt="cat", width=16,height=16, dst="test.jpg")
@@ -81,4 +81,4 @@ class TestBackendServicer(unittest.TestCase):
            print(err)
            self.fail("Image gen service failed")
        finally:
-            self.tearDown()
+            self.tearDown()
--- a/backend/python/exllama/.gitignore
+++ b/backend/python/exllama/.gitignore
@@ -0,0 +1 @@
+source
--- a/backend/python/exllama/Makefile
+++ b/backend/python/exllama/Makefile
@@ -0,0 +1,25 @@
+export CONDA_ENV_PATH = "exllama.yml"
+
+.PHONY: exllama
+exllama: protogen
+	bash install.sh ${CONDA_ENV_PATH}
+
+.PHONY: run
+run: protogen
+	@echo "Running exllama..."
+	bash run.sh
+	@echo "exllama run."
+
+.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) -r venv source __pycache__
--- a/backend/python/exllama/README.md
+++ b/backend/python/exllama/README.md
@@ -0,0 +1,5 @@
+# Creating a separate environment for the exllama project
+
+```
+make exllama
+```
--- a/backend/python/exllama/backend.py
+++ b/backend/python/exllama/backend.py
@@ -0,0 +1,159 @@
+#!/usr/bin/env python3
+import grpc
+from concurrent import futures
+import time
+import backend_pb2
+import backend_pb2_grpc
+import argparse
+import signal
+import sys
+import os, glob
+
+from pathlib import Path
+import torch
+import torch.nn.functional as F
+from torch import version as torch_version
+
+from source.tokenizer import ExLlamaTokenizer
+from source.generator import ExLlamaGenerator
+from source.model import ExLlama, ExLlamaCache, ExLlamaConfig
+
+_ONE_DAY_IN_SECONDS = 60 * 60 * 24
+
+# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
+MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
+
+# Implement the BackendServicer class with the service methods
+class BackendServicer(backend_pb2_grpc.BackendServicer):
+    def generate(self,prompt, max_new_tokens):
+        self.generator.end_beam_search()
+
+        # Tokenizing the input
+        ids = self.generator.tokenizer.encode(prompt)
+
+        self.generator.gen_begin_reuse(ids)
+        initial_len = self.generator.sequence[0].shape[0]
+        has_leading_space = False
+        decoded_text = ''
+        for i in range(max_new_tokens):
+            token = self.generator.gen_single_token()
+            if i == 0 and self.generator.tokenizer.tokenizer.IdToPiece(int(token)).startswith('▁'):
+                has_leading_space = True
+
+            decoded_text = self.generator.tokenizer.decode(self.generator.sequence[0][initial_len:])
+            if has_leading_space:
+                decoded_text = ' ' + decoded_text
+
+            if token.item() == self.generator.tokenizer.eos_token_id:
+                break
+        return decoded_text
+    def Health(self, request, context):
+        return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
+    def LoadModel(self, request, context):
+        try:
+            # https://github.com/turboderp/exllama/blob/master/example_cfg.py
+            model_directory = request.ModelFile
+
+            # Locate files we need within that directory
+            tokenizer_path = os.path.join(model_directory, "tokenizer.model")
+            model_config_path = os.path.join(model_directory, "config.json")
+            st_pattern = os.path.join(model_directory, "*.safetensors")
+            model_path = glob.glob(st_pattern)[0]
+
+            # Create config, model, tokenizer and generator
+
+            config = ExLlamaConfig(model_config_path)               # create config from config.json
+            config.model_path = model_path                          # supply path to model weights file
+            if (request.ContextSize):
+                config.max_seq_len = request.ContextSize            # override max sequence length
+                config.max_attention_size = request.ContextSize**2  # Should be set to context_size^2. 
+                # https://github.com/turboderp/exllama/issues/220#issuecomment-1720324163
+
+            # Set Rope scaling.
+            if (request.RopeFreqScale):
+                # Alpha value for Rope scaling. 
+                # Higher value increases context but adds perplexity.
+                # alpha_value and compress_pos_emb are mutually exclusive.
+                # https://github.com/turboderp/exllama/issues/115
+                config.alpha_value = request.RopeFreqScale
+                config.calculate_rotary_embedding_base()
+
+            model = ExLlama(config)                                 # create ExLlama instance and load the weights
+            tokenizer = ExLlamaTokenizer(tokenizer_path)            # create tokenizer from tokenizer model file
+
+            cache = ExLlamaCache(model, batch_size = 2)             # create cache for inference
+            generator = ExLlamaGenerator(model, tokenizer, cache)   # create generator
+
+            self.generator= generator
+            self.model = model
+            self.tokenizer = tokenizer
+            self.cache = cache
+        except Exception as err:
+            return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
+        return backend_pb2.Result(message="Model loaded successfully", success=True)
+
+    def Predict(self, request, context):
+        penalty = 1.15
+        if request.Penalty != 0.0:
+            penalty = request.Penalty
+        self.generator.settings.token_repetition_penalty_max = penalty
+        self.generator.settings.temperature = request.Temperature
+        self.generator.settings.top_k = request.TopK
+        self.generator.settings.top_p = request.TopP
+
+        tokens = 512
+        if request.Tokens != 0:
+            tokens = request.Tokens
+
+        if self.cache.batch_size == 1:
+            del self.cache
+            self.cache = ExLlamaCache(self.model, batch_size=2)
+            self.generator = ExLlamaGenerator(self.model, self.tokenizer, self.cache)
+
+        t = self.generate(request.Prompt, tokens)
+
+        # Remove prompt from response if present
+        if request.Prompt in t:
+            t = t.replace(request.Prompt, "")
+
+        return backend_pb2.Result(message=bytes(t, encoding='utf-8'))
+
+    def PredictStream(self, request, context):
+        # Implement PredictStream RPC
+        #for reply in some_data_generator():
+        #    yield reply
+        # Not implemented yet
+        return self.Predict(request, context)
+
+
+def serve(address):
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
+    backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
+    server.add_insecure_port(address)
+    server.start()
+    print("Server started. Listening on: " + address, file=sys.stderr)
+
+    # Define the signal handler function
+    def signal_handler(sig, frame):
+        print("Received termination signal. Shutting down...")
+        server.stop(0)
+        sys.exit(0)
+
+    # Set the signal handlers for SIGINT and SIGTERM
+    signal.signal(signal.SIGINT, signal_handler)
+    signal.signal(signal.SIGTERM, signal_handler)
+
+    try:
+        while True:
+            time.sleep(_ONE_DAY_IN_SECONDS)
+    except KeyboardInterrupt:
+        server.stop(0)
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Run the gRPC server.")
+    parser.add_argument(
+        "--addr", default="localhost:50051", help="The address to bind the server to."
+    )
+    args = parser.parse_args()
+
+    serve(args.addr)
--- a/backend/python/exllama/install.sh
+++ b/backend/python/exllama/install.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+set -e
+
+LIMIT_TARGETS="cublas"
+
+source $(dirname $0)/../common/libbackend.sh
+
+installRequirements
+
+git clone https://github.com/turboderp/exllama $MY_DIR/source
+uv pip install ${BUILD_ISOLATION_FLAG} --requirement ${MY_DIR}/source/requirements.txt
+
+cp -v ./*py $MY_DIR/source/
--- a/backend/python/exllama/requirements-cpu.txt
+++ b/backend/python/exllama/requirements-cpu.txt
@@ -0,0 +1,3 @@
+transformers
+accelerate
+torch
--- a/backend/python/exllama/requirements-cublas11.txt
+++ b/backend/python/exllama/requirements-cublas11.txt
@@ -0,0 +1,4 @@
+--extra-index-url https://download.pytorch.org/whl/cu118
+torch
+transformers
+accelerate
--- a/backend/python/exllama/requirements-cublas12.txt
+++ b/backend/python/exllama/requirements-cublas12.txt
@@ -0,0 +1,3 @@
+torch
+transformers
+accelerate
--- a/backend/python/exllama/requirements.txt
+++ b/backend/python/exllama/requirements.txt
@@ -0,0 +1,4 @@
+grpcio==1.65.5
+protobuf
+certifi
+setuptools
--- a/backend/python/exllama/run.sh
+++ b/backend/python/exllama/run.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+LIMIT_TARGETS="cublas"
+BACKEND_FILE="${MY_DIR}/source/backend.py"
+
+source $(dirname $0)/../common/libbackend.sh
+
+startBackend $@
--- a/backend/python/exllama/test.sh
+++ b/backend/python/exllama/test.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+set -e
+
+source $(dirname $0)/../common/libbackend.sh
+
+runUnittests
--- a/backend/python/exllama2/requirements-cpu.txt
+++ b/backend/python/exllama2/requirements-cpu.txt
@@ -1,3 +1,3 @@
 transformers
 accelerate
-torch==2.4.1
+torch
--- a/backend/python/exllama2/requirements-cublas11.txt
+++ b/backend/python/exllama2/requirements-cublas11.txt
@@ -1,4 +1,4 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
+torch
 transformers
 accelerate
--- a/backend/python/exllama2/requirements-cublas12.txt
+++ b/backend/python/exllama2/requirements-cublas12.txt
@@ -1,3 +1,3 @@
-torch==2.4.1
+torch
 transformers
 accelerate
--- a/backend/python/exllama2/requirements.txt
+++ b/backend/python/exllama2/requirements.txt
@@ -1,4 +1,4 @@
-grpcio==1.67.0
+grpcio==1.65.4
 protobuf
 certifi
 wheel
--- a/backend/python/mamba/requirements-cpu.txt
+++ b/backend/python/mamba/requirements-cpu.txt
@@ -1,2 +1,2 @@
-torch==2.4.1
+torch
 transformers
--- a/backend/python/mamba/requirements-cublas11.txt
+++ b/backend/python/mamba/requirements-cublas11.txt
@@ -1,3 +1,3 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
+torch
 transformers
--- a/backend/python/mamba/requirements-cublas12.txt
+++ b/backend/python/mamba/requirements-cublas12.txt
@@ -1,2 +1,2 @@
-torch==2.4.1
+torch
 transformers
--- a/backend/python/mamba/requirements.txt
+++ b/backend/python/mamba/requirements.txt
@@ -1,3 +1,3 @@
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
 certifi
--- a/backend/python/openvoice/requirements-cpu.txt
+++ b/backend/python/openvoice/requirements-cpu.txt
@@ -1,3 +1 @@
-torch==2.4.1
-git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
+torch
--- a/backend/python/openvoice/requirements-cublas11.txt
+++ b/backend/python/openvoice/requirements-cublas11.txt
@@ -1,4 +1,2 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
-git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
+torch
--- a/backend/python/openvoice/requirements-cublas12.txt
+++ b/backend/python/openvoice/requirements-cublas12.txt
@@ -1,3 +1 @@
-torch==2.4.1
-git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
+torch
--- a/backend/python/openvoice/requirements-hipblas.txt
+++ b/backend/python/openvoice/requirements-hipblas.txt
@@ -1,4 +1,2 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.4.1+rocm6.0
-git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
+torch
--- a/backend/python/openvoice/requirements-intel.txt
+++ b/backend/python/openvoice/requirements-intel.txt
@@ -2,22 +2,22 @@
 intel-extension-for-pytorch
 torch
 optimum[openvino]
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
 librosa==0.9.1
-faster-whisper==0.9.0
+faster-whisper==1.0.3
 pydub==0.25.1
 wavmark==0.0.3
-numpy==1.22.0
+numpy==1.26.4
 eng_to_ipa==0.0.2
 inflect==7.0.0
 unidecode==1.3.7
-whisper-timestamped==1.14.2
+whisper-timestamped==1.15.4
 openai
 python-dotenv
 pypinyin==0.50.0
 cn2an==0.5.22
 jieba==0.42.1
+gradio==4.38.1
 langid==1.1.6
 git+https://github.com/myshell-ai/MeloTTS.git
-git+https://github.com/myshell-ai/OpenVoice.git
--- a/backend/python/openvoice/requirements.txt
+++ b/backend/python/openvoice/requirements.txt
@@ -1,10 +1,10 @@
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
 librosa
 faster-whisper
 pydub==0.25.1
 wavmark==0.0.3
-numpy==1.22.0
+numpy
 eng_to_ipa==0.0.2
 inflect
 unidecode
@@ -13,8 +13,8 @@ openai
 python-dotenv
 pypinyin
 cn2an==0.5.22
-networkx==2.8.8
 jieba==0.42.1
-gradio==3.48.0
+gradio
 langid==1.1.6
-llvmlite==0.43.0
+git+https://github.com/myshell-ai/MeloTTS.git
+git+https://github.com/myshell-ai/OpenVoice.git
--- a/backend/python/openvoice/test.py
+++ b/backend/python/openvoice/test.py
@@ -19,7 +19,7 @@ class TestBackendServicer(unittest.TestCase):
        This method sets up the gRPC service by starting the server
        """
        self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
-        time.sleep(30)
+        time.sleep(10)

    def tearDown(self) -> None:
        """
--- a/backend/python/parler-tts/install.sh
+++ b/backend/python/parler-tts/install.sh
@@ -15,12 +15,5 @@ installRequirements

 # https://github.com/descriptinc/audiotools/issues/101
 # incompatible protobuf versions.
-PYDIR=python3.10
-pyenv="${MY_DIR}/venv/lib/${PYDIR}/site-packages/google/protobuf/internal/"
-
-if [ ! -d ${pyenv} ]; then
-    echo "(parler-tts/install.sh): Error: ${pyenv} does not exist"
-    exit 1
-fi
-
-curl -L https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py -o ${pyenv}/builder.py
+PYDIR=$(ls ${MY_DIR}/venv/lib)
+curl -L https://raw.githubusercontent.com/protocolbuffers/protobuf/main/python/google/protobuf/internal/builder.py -o ${MY_DIR}/venv/lib/${PYDIR}/site-packages/google/protobuf/internal/builder.py
--- a/backend/python/parler-tts/requirements-cpu.txt
+++ b/backend/python/parler-tts/requirements-cpu.txt
@@ -1,3 +1,3 @@
 transformers
 accelerate
-torch==2.4.1
+torch
--- a/backend/python/parler-tts/requirements-cublas11.txt
+++ b/backend/python/parler-tts/requirements-cublas11.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
-torchaudio==2.4.1+cu118
+torch
+torchaudio
 transformers
 accelerate
--- a/backend/python/parler-tts/requirements-cublas12.txt
+++ b/backend/python/parler-tts/requirements-cublas12.txt
@@ -1,4 +1,4 @@
-torch==2.4.1
-torchaudio==2.4.1
+torch
+torchaudio
 transformers
 accelerate
--- a/backend/python/parler-tts/requirements-hipblas.txt
+++ b/backend/python/parler-tts/requirements-hipblas.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
-torch==2.3.0+rocm6.0
-torchaudio==2.3.0+rocm6.0
+torch
+torchaudio
 transformers
-accelerate
+accelerate
--- a/backend/python/parler-tts/requirements-intel.txt
+++ b/backend/python/parler-tts/requirements-intel.txt
@@ -3,6 +3,6 @@ intel-extension-for-pytorch
 torch
 torchaudio
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
 transformers
 accelerate
--- a/backend/python/parler-tts/requirements.txt
+++ b/backend/python/parler-tts/requirements.txt
@@ -1,4 +1,4 @@
-grpcio==1.67.0
+grpcio==1.65.5
 protobuf
 certifi
 llvmlite==0.43.0
--- a/backend/python/rerankers/requirements-cpu.txt
+++ b/backend/python/rerankers/requirements-cpu.txt
@@ -1,4 +1,4 @@
 transformers
 accelerate
-torch==2.4.1
+torch
 rerankers[transformers]
--- a/backend/python/rerankers/requirements-cublas11.txt
+++ b/backend/python/rerankers/requirements-cublas11.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
 transformers
 accelerate
-torch==2.4.1+cu118
+torch
 rerankers[transformers]
--- a/backend/python/rerankers/requirements-cublas12.txt
+++ b/backend/python/rerankers/requirements-cublas12.txt
@@ -1,4 +1,4 @@
 transformers
 accelerate
-torch==2.4.1
+torch
 rerankers[transformers]
--- a/backend/python/rerankers/requirements-hipblas.txt
+++ b/backend/python/rerankers/requirements-hipblas.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/rocm6.0
 transformers
 accelerate
-torch==2.4.1+rocm6.0
+torch
 rerankers[transformers]
--- a/backend/python/rerankers/requirements-intel.txt
+++ b/backend/python/rerankers/requirements-intel.txt
@@ -5,4 +5,4 @@ accelerate
 torch
 rerankers[transformers]
 optimum[openvino]
-setuptools==75.1.0 # https://github.com/mudler/LocalAI/issues/2406
+setuptools==72.1.0 # https://github.com/mudler/LocalAI/issues/2406
--- a/backend/python/rerankers/requirements.txt
+++ b/backend/python/rerankers/requirements.txt
@@ -1,3 +1,3 @@
-grpcio==1.67.0
+grpcio==1.65.4
 protobuf
 certifi
--- a/backend/python/sentencetransformers/backend.py
+++ b/backend/python/sentencetransformers/backend.py
@@ -55,7 +55,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
        """
        model_name = request.Model
        try:
-            self.model = SentenceTransformer(model_name, trust_remote_code=request.TrustRemoteCode)
+            self.model = SentenceTransformer(model_name)
        except Exception as err:
            return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")

--- a/backend/python/sentencetransformers/requirements-cpu.txt
+++ b/backend/python/sentencetransformers/requirements-cpu.txt
@@ -1,6 +1,6 @@
-torch==2.4.1
+torch
 accelerate
 transformers
 bitsandbytes
-sentence-transformers==3.2.0
+sentence-transformers==3.0.1
 transformers
--- a/backend/python/sentencetransformers/requirements-cublas11.txt
+++ b/backend/python/sentencetransformers/requirements-cublas11.txt
@@ -1,5 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu118
-torch==2.4.1+cu118
+torch
 accelerate
-sentence-transformers==3.2.0
+sentence-transformers==3.0.1
 transformers
--- a/backend/python/sentencetransformers/requirements-cublas12.txt
+++ b/backend/python/sentencetransformers/requirements-cublas12.txt
@@ -1,4 +1,4 @@
-torch==2.4.1
+torch
 accelerate
-sentence-transformers==3.2.0
+sentence-transformers==3.0.1
 transformers
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Ettore Di Giacinto	2a03905920	Merge branch 'master' into cleanup_deps	2024-08-21 13:10:46 +02:00
Ettore Di Giacinto	35297ebc14	Drop also ttf files Signed-off-by: Ettore Di Giacinto <mudler@localai.io>	2024-08-21 13:03:26 +02:00
Ettore Di Giacinto	b303805df9	fix marked	2024-08-21 13:02:19 +02:00
Ettore Di Giacinto	32d51797d9	fix alpine.js	2024-08-21 13:02:19 +02:00
Ettore Di Giacinto	af09b019ed	fix(assets): generate assets on build time Signed-off-by: Ettore Di Giacinto <mudler@localai.io>	2024-08-21 13:02:19 +02:00