add examples of streaming in python and node

Signed-off-by: Matt Williams <m@technovangelist.com>

Dockerfile.cuda

@@ -0,0 +1,22 @@
+FROM nvidia/cuda:12.2.0-devel-ubuntu22.04
+
+WORKDIR /go/src/github.com/jmorganca/ollama
+RUN apt-get update && apt-get install -y git build-essential cmake
+ADD https://dl.google.com/go/go1.21.1.linux-amd64.tar.gz /tmp/go1.21.1.tar.gz
+RUN mkdir -p /usr/local && tar xz -C /usr/local </tmp/go1.21.1.tar.gz
+
+COPY . .
+RUN /usr/local/go/bin/go generate ./... && /usr/local/go/bin/go build -ldflags '-linkmode external -extldflags "-static"' .
+
+FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04
+ENV OLLAMA_HOST 0.0.0.0
+
+ARG USER=ollama
+ARG GROUP=ollama
+RUN groupadd $GROUP && useradd -m -g $GROUP $USER
+
+COPY --from=0 /go/src/github.com/jmorganca/ollama/ollama /bin/ollama
+
+USER $USER:$GROUP
+ENTRYPOINT ["/bin/ollama"]
+CMD ["serve"]

api/types.go

@@ -291,7 +291,7 @@ func DefaultOptions() Options {
 		NumCtx:             2048,
 		NumKeep:            -1,
 		NumBatch:           512,
-		NumGPU:             1,
+		NumGPU:             -1, // -1 here indicates that NumGPU should be set dynamically
 		NumGQA:             1,
 		LowVRAM:            false,
 		F16KV:              true,

docs/api.md

@@ -20,6 +20,10 @@ Model names follow a `model:tag` format. Some examples are `orca-mini:3b-q4_1` a
 
 All durations are returned in nanoseconds.
 
+### Streams
+
+Many API responses are streams of JSON objects showing the current status. For examples of working with streams in various languages, see [streaming.md](./streaming.md)
+
 ## Generate a completion
 
 ```

docs/development.md

@@ -6,6 +6,10 @@
 
 Install required tools:
 
+- cmake version 3.24 or higher
+- go version 1.20 or higher
+- gcc version 11.4.0 or higher
+
 ```
 brew install go cmake gcc
 ```
@@ -27,3 +31,9 @@ Now you can run `ollama`:
 ```
 ./ollama
 ```
+
+## Building on Linux with GPU support
+
+- Install cmake and nvidia-cuda-toolkit
+- run `go generate ./...`
+- run `go build .`

docs/streaming.md

@@ -0,0 +1,35 @@
+# Streaming responses in the Ollama Client API
+
+## JavaScript / TypeScript / Deno
+
+```javascript
+const pull = async () => {
+  const request = await fetch("http://localhost:11434/api/pull", {
+    method: "POST",
+    body: JSON.stringify({ name: "llama2:7b-q5_0" }),
+  });
+
+  const reader = await request.body?.pipeThrough(new TextDecoderStream());
+  if (!reader) throw new Error("No reader");
+  for await (const chunk of reader) {
+    const out = JSON.parse(chunk);
+    if (out.status.startsWith("downloading")) {
+      console.log(`${out.status} - ${(out.completed / out.total) * 100}%`);
+    }
+  }
+}
+
+pull();
+```
+
+## Python
+
+```python
+import requests
+import json
+response = requests.post("http://localhost:11434/api/pull", json={"name": "llama2:7b-q5_0"}, stream=True)
+for data in response.iter_lines():
+  out = json.loads(data)
+  if "completed" in out:
+    print(out["completed"] / out["total"] * 100)
+```

llm/falcon.go

@@ -0,0 +1,22 @@
+package llm
+
+const ModelFamilyFalcon = "falcon"
+
+const (
+	falconModelType7B   = 32
+	falconModelType40B  = 60
+	falconModelType180B = 80
+)
+
+func falconModelType(numLayer uint32) string {
+	switch numLayer {
+	case 32:
+		return "7B"
+	case 60:
+		return "40B"
+	case 80:
+		return "180B"
+	default:
+		return "Unknown"
+	}
+}

llm/ggml.go

@@ -8,54 +8,77 @@ import (
 	"sync"
 )
 
-type ModelFamily string
-
-const ModelFamilyUnknown ModelFamily = "unknown"
-
-type ModelType uint32
-
-const (
-	ModelType3B  ModelType = 26
-	ModelType7B  ModelType = 32
-	ModelType13B ModelType = 40
-	ModelType34B ModelType = 48
-	ModelType30B ModelType = 60
-	ModelType65B ModelType = 80
-)
-
-func (mt ModelType) String() string {
-	switch mt {
-	case ModelType3B:
-		return "3B"
-	case ModelType7B:
-		return "7B"
-	case ModelType13B:
-		return "13B"
-	case ModelType34B:
-		return "34B"
-	case ModelType30B:
-		return "30B"
-	case ModelType65B:
-		return "65B"
-	default:
-		return "Unknown"
-	}
-}
-
-type FileType interface {
-	String() string
-}
-
 type GGML struct {
 	magic uint32
 	container
 	model
 }
 
+const (
+	fileTypeF32 uint32 = iota
+	fileTypeF16
+	fileTypeQ4_0
+	fileTypeQ4_1
+	fileTypeQ4_1_F16
+	fileTypeQ8_0 uint32 = iota + 2
+	fileTypeQ5_0
+	fileTypeQ5_1
+	fileTypeQ2_K
+	fileTypeQ3_K_S
+	fileTypeQ3_K_M
+	fileTypeQ3_K_L
+	fileTypeQ4_K_S
+	fileTypeQ4_K_M
+	fileTypeQ5_K_S
+	fileTypeQ5_K_M
+	fileTypeQ6_K
+)
+
+func fileType(fileType uint32) string {
+	switch fileType {
+	case fileTypeF32:
+		return "F32"
+	case fileTypeF16:
+		return "F16"
+	case fileTypeQ4_0:
+		return "Q4_0"
+	case fileTypeQ4_1:
+		return "Q4_1"
+	case fileTypeQ4_1_F16:
+		return "Q4_1_F16"
+	case fileTypeQ8_0:
+		return "Q8_0"
+	case fileTypeQ5_0:
+		return "Q5_0"
+	case fileTypeQ5_1:
+		return "Q5_1"
+	case fileTypeQ2_K:
+		return "Q2_K"
+	case fileTypeQ3_K_S:
+		return "Q3_K_S"
+	case fileTypeQ3_K_M:
+		return "Q3_K_M"
+	case fileTypeQ3_K_L:
+		return "Q3_K_L"
+	case fileTypeQ4_K_S:
+		return "Q4_K_S"
+	case fileTypeQ4_K_M:
+		return "Q4_K_M"
+	case fileTypeQ5_K_S:
+		return "Q5_K_S"
+	case fileTypeQ5_K_M:
+		return "Q5_K_M"
+	case fileTypeQ6_K:
+		return "Q6_K"
+	default:
+		return "Unknown"
+	}
+}
+
 type model interface {
-	ModelFamily() ModelFamily
-	ModelType() ModelType
-	FileType() FileType
+	ModelFamily() string
+	ModelType() string
+	FileType() string
 }
 
 type container interface {

llm/gguf.go

@@ -6,7 +6,6 @@ import (
 	"errors"
 	"fmt"
 	"io"
-	"log"
 	"path"
 	"sync"
 )
@@ -87,38 +86,43 @@ func (llm *ggufModel) NumKV() uint64 {
 	return llm.V2.NumKV
 }
 
-func (llm *ggufModel) ModelFamily() ModelFamily {
+func (llm *ggufModel) ModelFamily() string {
 	t, ok := llm.kv["general.architecture"].(string)
 	if ok {
-		return ModelFamily(t)
+		return t
 	}
 
-	log.Printf("unknown model family: %T", t)
-	return ModelFamilyUnknown
+	return "unknown"
 }
 
-func (llm *ggufModel) ModelType() ModelType {
+func (llm *ggufModel) ModelType() string {
 	switch llm.ModelFamily() {
-	case ModelFamilyLlama:
-		blocks, ok := llm.kv["llama.block_count"].(uint32)
-		if ok {
-			return ModelType(blocks)
+	case "llama":
+		if blocks, ok := llm.kv["llama.block_count"].(uint32); ok {
+			heads, headsOK := llm.kv["llama.head_count"].(uint32)
+			headKVs, headsKVsOK := llm.kv["llama.head_count_kv"].(uint32)
+			if headsOK && headsKVsOK && heads/headKVs == 8 {
+				return "70B"
+			}
+
+			return llamaModelType(blocks)
+		}
+	case "falcon":
+		if blocks, ok := llm.kv["falcon.block_count"].(uint32); ok {
+			return falconModelType(blocks)
 		}
 	}
 
-	return ModelType7B
+	return "Unknown"
 }
 
-func (llm *ggufModel) FileType() FileType {
-	switch llm.ModelFamily() {
-	case ModelFamilyLlama:
-		t, ok := llm.kv["general.file_type"].(uint32)
-		if ok {
-			return llamaFileType(t)
-		}
+func (llm *ggufModel) FileType() string {
+	t, ok := llm.kv["general.file_type"].(uint32)
+	if ok {
+		return fileType(t)
 	}
 
-	return llamaFileTypeF16
+	return "Unknown"
 }
 
 func (llm *ggufModel) Decode(r io.Reader) error {

llm/llama.cpp/generate.go

@@ -4,12 +4,14 @@
 package llm
 
 //go:generate git submodule init
-//go:generate git submodule update --force ggml gguf
-//go:generate git -C ggml apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git -C ggml apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git -C ggml apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
-//go:generate git -C ggml apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
-//go:generate cmake --fresh -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
+
+//go:generate git submodule update --force ggml
+//go:generate -command git-apply git -C ggml apply
+//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
+//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
+//go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_K_QUANTS=on
 //go:generate cmake --build ggml/build/cpu --target server --config Release
+
+//go:generate git submodule update --force gguf
 //go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_K_QUANTS=on
 //go:generate cmake --build gguf/build/cpu --target server --config Release

llm/llama.cpp/generate_darwin_amd64.go

@@ -1,12 +1,16 @@
 package llm
 
 //go:generate git submodule init
-//go:generate git submodule update --force ggml gguf
-//go:generate git -C ggml apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git -C ggml apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git -C ggml apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
-//go:generate git -C ggml apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
-//go:generate cmake --fresh -S ggml -B ggml/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
+
+//go:generate git submodule update --force ggml
+//go:generate -command git-apply git -C ggml apply
+//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
+//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
+//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
+//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
+//go:generate cmake -S ggml -B ggml/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build ggml/build/cpu --target server --config Release
-//go:generate cmake --fresh -S gguf -B gguf/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
+
+//go:generate git submodule update --force gguf
+//go:generate cmake -S gguf -B gguf/build/cpu -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=x86_64 -DCMAKE_OSX_ARCHITECTURES=x86_64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build gguf/build/cpu --target server --config Release

llm/llama.cpp/generate_darwin_arm64.go

@@ -1,12 +1,16 @@
 package llm
 
 //go:generate git submodule init
-//go:generate git submodule update --force ggml gguf
-//go:generate git -C ggml apply ../ggml_patch/0001-add-detokenize-endpoint.patch
-//go:generate git -C ggml apply ../ggml_patch/0002-34B-model-support.patch
-//go:generate git -C ggml apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
-//go:generate git -C ggml apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
-//go:generate cmake --fresh -S ggml -B ggml/build/gpu -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
+
+//go:generate git submodule update --force ggml
+//go:generate -command git-apply git -C ggml apply
+//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
+//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
+//go:generate git-apply ../ggml_patch/0003-metal-fix-synchronization-in-new-matrix-multiplicati.patch
+//go:generate git-apply ../ggml_patch/0004-metal-add-missing-barriers-for-mul-mat-2699.patch
+//go:generate cmake -S ggml -B ggml/build/gpu -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build ggml/build/gpu --target server --config Release
+
+//go:generate git submodule update --force gguf
 //go:generate cmake -S gguf -B gguf/build/gpu -DLLAMA_METAL=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on -DCMAKE_SYSTEM_PROCESSOR=arm64 -DCMAKE_OSX_ARCHITECTURES=arm64 -DCMAKE_OSX_DEPLOYMENT_TARGET=11.0
 //go:generate cmake --build gguf/build/gpu --target server --config Release

llm/llama.cpp/generate_linux.go

@@ -0,0 +1,15 @@
+package llm
+
+//go:generate git submodule init
+
+//go:generate git submodule update --force ggml
+//go:generate -command git-apply git -C ggml apply
+//go:generate git-apply ../ggml_patch/0001-add-detokenize-endpoint.patch
+//go:generate git-apply ../ggml_patch/0002-34B-model-support.patch
+//go:generate git-apply ../ggml_patch/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch
+//go:generate cmake -S ggml -B ggml/build/gpu -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
+//go:generate cmake --build ggml/build/gpu --target server --config Release
+
+//go:generate git submodule update --force gguf
+//go:generate cmake -S gguf -B gguf/build/gpu -DLLAMA_CUBLAS=on -DLLAMA_ACCELERATE=on -DLLAMA_K_QUANTS=on
+//go:generate cmake --build gguf/build/gpu --target server --config Release

llm/llama.cpp/ggml_patch/0005-ggml-support-CUDA-s-half-type-for-aarch64-1455-2670.patch

@@ -0,0 +1,32 @@
+From 1e3bc523d8053a77df3ac7126a84d0297ee97ef6 Mon Sep 17 00:00:00 2001
+From: Kylin <56434533+KyL0N@users.noreply.github.com>
+Date: Tue, 22 Aug 2023 15:14:23 +0800
+Subject: [PATCH] ggml : support CUDA's half type for aarch64(#1455) (#2670)
+
+* ggml: support CUDA's half type for aarch64(#1455)
+support CUDA's half type for aarch64 in ggml_fp16_t definition
+
+* ggml: use __CUDACC__ to recognise nvcc compiler
+---
+ ggml.h | 5 +++--
+ 1 file changed, 3 insertions(+), 2 deletions(-)
+
+diff --git a/ggml.h b/ggml.h
+index 544ad2d..0ec7ec5 100644
+--- a/ggml.h
++++ b/ggml.h
+@@ -259,8 +259,9 @@
+ extern "C" {
+ #endif
+ 
+-#ifdef __ARM_NEON
+-    // we use the built-in 16-bit float type
++#if defined(__ARM_NEON) && defined(__CUDACC__)
++    typedef half ggml_fp16_t;
++#elif defined(__ARM_NEON)
+     typedef __fp16 ggml_fp16_t;
+ #else
+     typedef uint16_t ggml_fp16_t;
+-- 
+2.39.2 (Apple Git-143)
+

llm/llama.go

@@ -58,6 +58,12 @@ func chooseRunner(gpuPath, cpuPath string) string {
 		if llamaPath == osPath(gpuPath) {
 			files = append(files, "ggml-metal.metal")
 		}
+	case "linux":
+		// check if there is a GPU available
+		if _, err := CheckVRAM(); errors.Is(err, errNoGPU) {
+			// this error was logged on start-up, so we don't need to log it again
+			llamaPath = osPath(cpuPath)
+		}
 	}
 
 	for _, f := range files {
@@ -89,38 +95,39 @@ func chooseRunner(gpuPath, cpuPath string) string {
 	return runPath
 }
 
-const ModelFamilyLlama ModelFamily = "llama"
-
 type llamaModel struct {
 	hyperparameters llamaHyperparameters
 }
 
-func (llm *llamaModel) ModelFamily() ModelFamily {
-	return ModelFamilyLlama
+func (llm *llamaModel) ModelFamily() string {
+	return "llama"
 }
 
-func (llm *llamaModel) ModelType() ModelType {
-	switch llm.hyperparameters.NumLayer {
+func llamaModelType(numLayer uint32) string {
+	switch numLayer {
 	case 26:
-		return ModelType3B
+		return "3B"
 	case 32:
-		return ModelType7B
+		return "7B"
 	case 40:
-		return ModelType13B
+		return "13B"
 	case 48:
-		return ModelType34B
+		return "34B"
 	case 60:
-		return ModelType30B
+		return "30B"
 	case 80:
-		return ModelType65B
+		return "65B"
+	default:
+		return "Unknown"
 	}
-
-	// TODO: find a better default
-	return ModelType7B
 }
 
-func (llm *llamaModel) FileType() FileType {
-	return llm.hyperparameters.FileType
+func (llm *llamaModel) ModelType() string {
+	return llamaModelType(llm.hyperparameters.NumLayer)
+}
+
+func (llm *llamaModel) FileType() string {
+	return fileType(llm.hyperparameters.FileType)
 }
 
 type llamaHyperparameters struct {
@@ -137,70 +144,7 @@ type llamaHyperparameters struct {
 	NumRot   uint32
 
 	// FileType describes the quantization level of the model, e.g. Q4_0, Q5_K, etc.
-	FileType llamaFileType
-}
-
-type llamaFileType uint32
-
-const (
-	llamaFileTypeF32 llamaFileType = iota
-	llamaFileTypeF16
-	llamaFileTypeQ4_0
-	llamaFileTypeQ4_1
-	llamaFileTypeQ4_1_F16
-	llamaFileTypeQ8_0 llamaFileType = iota + 2
-	llamaFileTypeQ5_0
-	llamaFileTypeQ5_1
-	llamaFileTypeQ2_K
-	llamaFileTypeQ3_K_S
-	llamaFileTypeQ3_K_M
-	llamaFileTypeQ3_K_L
-	llamaFileTypeQ4_K_S
-	llamaFileTypeQ4_K_M
-	llamaFileTypeQ5_K_S
-	llamaFileTypeQ5_K_M
-	llamaFileTypeQ6_K
-)
-
-func (ft llamaFileType) String() string {
-	switch ft {
-	case llamaFileTypeF32:
-		return "F32"
-	case llamaFileTypeF16:
-		return "F16"
-	case llamaFileTypeQ4_0:
-		return "Q4_0"
-	case llamaFileTypeQ4_1:
-		return "Q4_1"
-	case llamaFileTypeQ4_1_F16:
-		return "Q4_1_F16"
-	case llamaFileTypeQ8_0:
-		return "Q8_0"
-	case llamaFileTypeQ5_0:
-		return "Q5_0"
-	case llamaFileTypeQ5_1:
-		return "Q5_1"
-	case llamaFileTypeQ2_K:
-		return "Q2_K"
-	case llamaFileTypeQ3_K_S:
-		return "Q3_K_S"
-	case llamaFileTypeQ3_K_M:
-		return "Q3_K_M"
-	case llamaFileTypeQ3_K_L:
-		return "Q3_K_L"
-	case llamaFileTypeQ4_K_S:
-		return "Q4_K_S"
-	case llamaFileTypeQ4_K_M:
-		return "Q4_K_M"
-	case llamaFileTypeQ5_K_S:
-		return "Q5_K_S"
-	case llamaFileTypeQ5_K_M:
-		return "Q5_K_M"
-	case llamaFileTypeQ6_K:
-		return "Q6_K"
-	default:
-		return "Unknown"
-	}
+	FileType uint32
 }
 
 type Running struct {
@@ -218,6 +162,72 @@ type llama struct {
 	Running
 }
 
+var errNoGPU = errors.New("nvidia-smi command failed")
+
+// CheckVRAM returns the available VRAM in MiB on Linux machines with NVIDIA GPUs
+func CheckVRAM() (int, error) {
+	cmd := exec.Command("nvidia-smi", "--query-gpu=memory.total", "--format=csv,noheader,nounits")
+	var stdout bytes.Buffer
+	cmd.Stdout = &stdout
+	err := cmd.Run()
+	if err != nil {
+		return 0, errNoGPU
+	}
+
+	var total int
+	scanner := bufio.NewScanner(&stdout)
+	for scanner.Scan() {
+		line := scanner.Text()
+		vram, err := strconv.Atoi(line)
+		if err != nil {
+			return 0, fmt.Errorf("failed to parse available VRAM: %v", err)
+		}
+
+		total += vram
+	}
+
+	return total, nil
+}
+
+func NumGPU(opts api.Options) int {
+	if opts.NumGPU != -1 {
+		return opts.NumGPU
+	}
+	n := 1 // default to enable metal on macOS
+	if runtime.GOOS == "linux" {
+		vram, err := CheckVRAM()
+		if err != nil {
+			if err.Error() != "nvidia-smi command failed" {
+				log.Print(err.Error())
+			}
+			// nvidia driver not installed or no nvidia GPU found
+			return 0
+		}
+		// TODO: this is a very rough heuristic, better would be to calculate this based on number of layers and context size
+		switch {
+		case vram < 500:
+			log.Printf("WARNING: Low VRAM detected, disabling GPU")
+			n = 0
+		case vram < 1000:
+			n = 4
+		case vram < 2000:
+			n = 8
+		case vram < 4000:
+			n = 12
+		case vram < 8000:
+			n = 16
+		case vram < 12000:
+			n = 24
+		case vram < 16000:
+			n = 32
+		default:
+			n = 48
+		}
+		log.Printf("%d MB VRAM available, loading %d GPU layers", vram, n)
+	}
+	return n
+}
+
 func newLlama(model string, adapters []string, runner ModelRunner, opts api.Options) (*llama, error) {
 	if _, err := os.Stat(model); err != nil {
 		return nil, err
@@ -237,7 +247,7 @@ func newLlama(model string, adapters []string, runner ModelRunner, opts api.Opti
 		"--rope-freq-base", fmt.Sprintf("%f", opts.RopeFrequencyBase),
 		"--rope-freq-scale", fmt.Sprintf("%f", opts.RopeFrequencyScale),
 		"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
-		"--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU),
+		"--n-gpu-layers", fmt.Sprintf("%d", NumGPU(opts)),
 		"--embedding",
 	}
 
@@ -305,7 +315,7 @@ func newLlama(model string, adapters []string, runner ModelRunner, opts api.Opti
 func waitForServer(llm *llama) error {
 	// wait for the server to start responding
 	start := time.Now()
-	expiresAt := time.Now().Add(30 * time.Second)
+	expiresAt := time.Now().Add(45 * time.Second)
 	ticker := time.NewTicker(200 * time.Millisecond)
 
 	log.Print("waiting for llama.cpp server to start responding")

llm/llm.go

@@ -37,7 +37,7 @@ func New(model string, adapters []string, opts api.Options) (LLM, error) {
 		return nil, err
 	}
 
-	switch ggml.FileType().String() {
+	switch ggml.FileType() {
 	case "Q8_0":
 		if ggml.Name() != "gguf" && opts.NumGPU != 0 {
 			// GGML Q8_0 do not support Metal API and will
@@ -56,30 +56,36 @@ func New(model string, adapters []string, opts api.Options) (LLM, error) {
 
 	totalResidentMemory := memory.TotalMemory()
 	switch ggml.ModelType() {
-	case ModelType3B, ModelType7B:
-		if ggml.FileType().String() == "F16" && totalResidentMemory < 16*1024*1024 {
+	case "3B", "7B":
+		if ggml.FileType() == "F16" && totalResidentMemory < 16*1024*1024 {
 			return nil, fmt.Errorf("F16 model requires at least 16GB of memory")
 		} else if totalResidentMemory < 8*1024*1024 {
 			return nil, fmt.Errorf("model requires at least 8GB of memory")
 		}
-	case ModelType13B:
-		if ggml.FileType().String() == "F16" && totalResidentMemory < 32*1024*1024 {
+	case "13B":
+		if ggml.FileType() == "F16" && totalResidentMemory < 32*1024*1024 {
 			return nil, fmt.Errorf("F16 model requires at least 32GB of memory")
 		} else if totalResidentMemory < 16*1024*1024 {
 			return nil, fmt.Errorf("model requires at least 16GB of memory")
 		}
-	case ModelType30B, ModelType34B:
-		if ggml.FileType().String() == "F16" && totalResidentMemory < 64*1024*1024 {
+	case "30B", "34B", "40B":
+		if ggml.FileType() == "F16" && totalResidentMemory < 64*1024*1024 {
 			return nil, fmt.Errorf("F16 model requires at least 64GB of memory")
 		} else if totalResidentMemory < 32*1024*1024 {
 			return nil, fmt.Errorf("model requires at least 32GB of memory")
 		}
-	case ModelType65B:
-		if ggml.FileType().String() == "F16" && totalResidentMemory < 128*1024*1024 {
+	case "65B", "70B":
+		if ggml.FileType() == "F16" && totalResidentMemory < 128*1024*1024 {
 			return nil, fmt.Errorf("F16 model requires at least 128GB of memory")
 		} else if totalResidentMemory < 64*1024*1024 {
 			return nil, fmt.Errorf("model requires at least 64GB of memory")
 		}
+	case "180B":
+		if ggml.FileType() == "F16" && totalResidentMemory < 512*1024*1024 {
+			return nil, fmt.Errorf("F16 model requires at least 512GB of memory")
+		} else if totalResidentMemory < 128*1024*1024 {
+			return nil, fmt.Errorf("model requires at least 128GB of memory")
+		}
 	}
 
 	switch ggml.Name() {

server/images.go

@@ -114,11 +114,11 @@ type LayerReader struct {
 }
 
 type ConfigV2 struct {
-	ModelFamily llm.ModelFamily `json:"model_family"`
-	ModelType   string          `json:"model_type"`
-	ModelFormat string          `json:"model_format"`
-	FileType    string          `json:"file_type"`
-	RootFS      RootFS          `json:"rootfs"`
+	ModelFormat string `json:"model_format"`
+	ModelFamily string `json:"model_family"`
+	ModelType   string `json:"model_type"`
+	FileType    string `json:"file_type"`
+	RootFS      RootFS `json:"rootfs"`
 
 	// required by spec
 	Architecture string `json:"architecture"`
@@ -357,10 +357,10 @@ func CreateModel(ctx context.Context, name string, path string, fn func(resp api
 						return err
 					}
 
-					config.ModelFamily = ggml.ModelFamily()
-					config.ModelType = ggml.ModelType().String()
 					config.ModelFormat = ggml.Name()
-					config.FileType = ggml.FileType().String()
+					config.ModelFamily = ggml.ModelFamily()
+					config.ModelType = ggml.ModelType()
+					config.FileType = ggml.FileType()
 
 					// reset the file
 					file.Seek(0, io.SeekStart)
@@ -498,6 +498,12 @@ func CreateModel(ctx context.Context, name string, path string, fn func(resp api
 			}
 		}
 
+		if config.ModelType == "65B" {
+			if numGQA, ok := formattedParams["num_gqa"].(int); ok && numGQA == 8 {
+				config.ModelType = "70B"
+			}
+		}
+
 		bts, err := json.Marshal(formattedParams)
 		if err != nil {
 			return err
@@ -815,14 +821,14 @@ func formatParams(params map[string][]string) (map[string]interface{}, error) {
 						return nil, fmt.Errorf("invalid float value %s", vals)
 					}
 
-					out[key] = floatVal
+					out[key] = float32(floatVal)
 				case reflect.Int:
-					intVal, err := strconv.ParseInt(vals[0], 10, 0)
+					intVal, err := strconv.ParseInt(vals[0], 10, 64)
 					if err != nil {
 						return nil, fmt.Errorf("invalid int value %s", vals)
 					}
 
-					out[key] = intVal
+					out[key] = int(intVal)
 				case reflect.Bool:
 					boolVal, err := strconv.ParseBool(vals[0])
 					if err != nil {

server/routes.go

@@ -12,6 +12,7 @@ import (
 	"os/signal"
 	"path/filepath"
 	"reflect"
+	"runtime"
 	"strconv"
 	"strings"
 	"sync"
@@ -548,6 +549,13 @@ func Serve(ln net.Listener, origins []string) error {
 		os.Exit(0)
 	}()
 
+	if runtime.GOOS == "linux" {
+		// check compatibility to log warnings
+		if _, err := llm.CheckVRAM(); err != nil {
+			log.Printf("Warning: GPU support not enabled, you may need to install GPU drivers: %v", err)
+		}
+	}
+
 	return s.Serve(ln)
 }