chore: drop embedded models (#4715)

Since the remote gallery was introduced this is now completely
superseded by it. In order to keep the code clean and remove redudant
parts let's simplify the usage.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

Makefile

@@ -861,7 +861,7 @@ swagger:
 
 .PHONY: gen-assets
 gen-assets:
-	$(GOCMD) run core/dependencies_manager/manager.go embedded/webui_static.yaml core/http/static/assets
+	$(GOCMD) run core/dependencies_manager/manager.go webui_static.yaml core/http/static/assets
 
 ## Documentation
 docs/layouts/_default:

core/application/startup.go

@@ -62,7 +62,7 @@ func New(opts ...config.AppOption) (*Application, error) {
 		}
 	}
 
-	if err := pkgStartup.InstallModels(options.Galleries, options.ModelLibraryURL, options.ModelPath, options.EnforcePredownloadScans, nil, options.ModelsURL...); err != nil {
+	if err := pkgStartup.InstallModels(options.Galleries, options.ModelPath, options.EnforcePredownloadScans, nil, options.ModelsURL...); err != nil {
 		log.Error().Err(err).Msg("error installing models")
 	}
 

core/cli/models.go

@@ -100,7 +100,7 @@ func (mi *ModelsInstall) Run(ctx *cliContext.Context) error {
 			log.Info().Str("model", modelName).Str("license", model.License).Msg("installing model")
 		}
 
-		err = startup.InstallModels(galleries, "", mi.ModelsPath, !mi.DisablePredownloadScan, progressCallback, modelName)
+		err = startup.InstallModels(galleries, mi.ModelsPath, !mi.DisablePredownloadScan, progressCallback, modelName)
 		if err != nil {
 			return err
 		}

core/cli/run.go

@@ -32,7 +32,6 @@ type RunCMD struct {
 
 	Galleries           string   `env:"LOCALAI_GALLERIES,GALLERIES" help:"JSON list of galleries" group:"models" default:"${galleries}"`
 	AutoloadGalleries   bool     `env:"LOCALAI_AUTOLOAD_GALLERIES,AUTOLOAD_GALLERIES" group:"models"`
-	RemoteLibrary       string   `env:"LOCALAI_REMOTE_LIBRARY,REMOTE_LIBRARY" default:"${remoteLibraryURL}" help:"A LocalAI remote library URL" group:"models"`
 	PreloadModels       string   `env:"LOCALAI_PRELOAD_MODELS,PRELOAD_MODELS" help:"A List of models to apply in JSON at start" group:"models"`
 	Models              []string `env:"LOCALAI_MODELS,MODELS" help:"A List of model configuration URLs to load" group:"models"`
 	PreloadModelsConfig string   `env:"LOCALAI_PRELOAD_MODELS_CONFIG,PRELOAD_MODELS_CONFIG" help:"A List of models to apply at startup. Path to a YAML config file" group:"models"`
@@ -90,7 +89,6 @@ func (r *RunCMD) Run(ctx *cliContext.Context) error {
 		config.WithDynamicConfigDirPollInterval(r.LocalaiConfigDirPollInterval),
 		config.WithF16(r.F16),
 		config.WithStringGalleries(r.Galleries),
-		config.WithModelLibraryURL(r.RemoteLibrary),
 		config.WithCors(r.CORS),
 		config.WithCorsAllowOrigins(r.CORSAllowOrigins),
 		config.WithCsrf(r.CSRF),

core/config/application_config.go

@@ -44,8 +44,6 @@ type ApplicationConfig struct {
 	DisableGalleryEndpoint             bool
 	LoadToMemory                       []string
 
-	ModelLibraryURL string
-
 	Galleries []Gallery
 
 	BackendAssets     embed.FS
@@ -126,12 +124,6 @@ func WithP2PToken(s string) AppOption {
 	}
 }
 
-func WithModelLibraryURL(url string) AppOption {
-	return func(o *ApplicationConfig) {
-		o.ModelLibraryURL = url
-	}
-}
-
 func WithLibPath(path string) AppOption {
 	return func(o *ApplicationConfig) {
 		o.LibPath = path

core/services/gallery.go

@@ -129,7 +129,7 @@ func (g *GalleryService) Start(c context.Context, cl *config.BackendConfigLoader
 					if op.GalleryModelName != "" {
 						err = gallery.InstallModelFromGallery(op.Galleries, op.GalleryModelName, g.appConfig.ModelPath, op.Req, progressCallback, g.appConfig.EnforcePredownloadScans)
 					} else if op.ConfigURL != "" {
-						err = startup.InstallModels(op.Galleries, op.ConfigURL, g.appConfig.ModelPath, g.appConfig.EnforcePredownloadScans, progressCallback, op.ConfigURL)
+						err = startup.InstallModels(op.Galleries, g.appConfig.ModelPath, g.appConfig.EnforcePredownloadScans, progressCallback, op.ConfigURL)
 						if err != nil {
 							updateError(err)
 							continue

docs/content/docs/advanced/run-other-models.md

@@ -1,126 +0,0 @@
-+++
-disableToc = false
-title = "Run other Models"
-weight = 23
-icon = "rocket_launch"
-
-+++
-
-## Running other models
-
-> _Do you have already a model file? Skip to [Run models manually]({{%relref "docs/getting-started/models" %}})_.
-
-To load models into LocalAI, you can either [use models manually]({{%relref "docs/getting-started/models" %}}) or configure LocalAI to pull the models from external sources, like Huggingface and configure the model.
-
-To do that, you can point LocalAI to an URL to a YAML configuration file - however - LocalAI does also have some popular model configuration embedded in the binary as well. Below you can find a list of the models configuration that LocalAI has pre-built, see [Model customization]({{%relref "docs/getting-started/customize-model" %}}) on how to configure models from URLs.
-
-There are different categories of models: [LLMs]({{%relref "docs/features/text-generation" %}}), [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) , [Embeddings]({{%relref "docs/features/embeddings" %}}), [Audio to Text]({{%relref "docs/features/audio-to-text" %}}), and [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) depending on the backend being used and the model architecture.
-
-{{% alert icon="💡" %}}
-
-To customize the models, see [Model customization]({{%relref "docs/getting-started/customize-model" %}}). For more model configurations, visit the [Examples Section](https://github.com/mudler/LocalAI-examples/tree/main/configurations) and the configurations for the models below is available [here](https://github.com/mudler/LocalAI/tree/master/embedded/models).
-{{% /alert %}}
-
-{{< tabs tabTotal="3" >}}
-{{% tab tabName="CPU-only" %}}
-
-> 💡Don't need GPU acceleration? use the CPU images which are lighter and do not have Nvidia dependencies
-
-| Model | Category | Docker command |
-| --- | --- | --- |
-| [phi-2](https://huggingface.co/microsoft/phi-2) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core phi-2``` |
-| 🌋 [bakllava](https://github.com/SkunkworksAI/BakLLaVA) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core bakllava``` |
-| 🌋 [llava-1.5](https://llava-vl.github.io/) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core llava-1.5``` |
-| 🌋 [llava-1.6-mistral](https://huggingface.co/cjpais/llava-1.6-mistral-7b-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core llava-1.6-mistral``` |
-| 🌋 [llava-1.6-vicuna](https://huggingface.co/cmp-nct/llava-1.6-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core llava-1.6-vicuna``` |
-| [mistral-openorca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core mistral-openorca``` |
-| [bert-cpp](https://github.com/skeskinen/bert.cpp) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core bert-cpp``` |
-| [all-minilm-l6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg all-minilm-l6-v2``` |
-| whisper-base | [Audio to Text]({{%relref "docs/features/audio-to-text" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core whisper-base``` |
-| rhasspy-voice-en-us-amy | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core rhasspy-voice-en-us-amy``` |
-| 🐸 [coqui](https://github.com/coqui-ai/TTS) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg coqui``` |
-| 🐶 [bark](https://github.com/suno-ai/bark) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg bark``` |
-| 🔊 [vall-e-x](https://github.com/Plachtaa/VALL-E-X)  | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg vall-e-x``` |
-| mixtral-instruct Mixtral-8x7B-Instruct-v0.1 | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core mixtral-instruct``` |
-| [tinyllama-chat](https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF) [original model](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.3) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core tinyllama-chat``` |
-| [dolphin-2.5-mixtral-8x7b](https://huggingface.co/TheBloke/dolphin-2.5-mixtral-8x7b-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core dolphin-2.5-mixtral-8x7b``` |
-| 🐍 [mamba](https://github.com/state-spaces/mamba) | [LLM]({{%relref "docs/features/text-generation" %}}) | GPU-only |
-| animagine-xl | [Text to Image]({{%relref "docs/features/image-generation" %}}) | GPU-only |
-| transformers-tinyllama | [LLM]({{%relref "docs/features/text-generation" %}}) | GPU-only |
-| [codellama-7b](https://huggingface.co/codellama/CodeLlama-7b-hf) (with transformers) | [LLM]({{%relref "docs/features/text-generation" %}}) | GPU-only |
-| [codellama-7b-gguf](https://huggingface.co/TheBloke/CodeLlama-7B-GGUF) (with llama.cpp) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core codellama-7b-gguf``` |
-| [hermes-2-pro-mistral](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core hermes-2-pro-mistral``` |
-{{% /tab %}}
-
-{{% tab tabName="GPU (CUDA 11)" %}}
-
-
-> To know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version` see also [GPU acceleration]({{%relref "docs/features/gpu-acceleration" %}}).
-
-| Model | Category | Docker command |
-| --- | --- | --- |
-| [phi-2](https://huggingface.co/microsoft/phi-2) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core phi-2``` |
-| 🌋 [bakllava](https://github.com/SkunkworksAI/BakLLaVA) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core bakllava``` |
-| 🌋 [llava-1.5](https://llava-vl.github.io/) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda11-core llava-1.5``` |
-| 🌋 [llava-1.6-mistral](https://huggingface.co/cjpais/llava-1.6-mistral-7b-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda11-core llava-1.6-mistral``` |
-| 🌋 [llava-1.6-vicuna](https://huggingface.co/cmp-nct/llava-1.6-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda11-core llava-1.6-vicuna``` |
-| [mistral-openorca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core mistral-openorca``` |
-| [bert-cpp](https://github.com/skeskinen/bert.cpp) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core bert-cpp``` |
-| [all-minilm-l6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 all-minilm-l6-v2``` |
-| whisper-base | [Audio to Text]({{%relref "docs/features/audio-to-text" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core whisper-base``` |
-| rhasspy-voice-en-us-amy | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core rhasspy-voice-en-us-amy``` |
-| 🐸 [coqui](https://github.com/coqui-ai/TTS) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 coqui``` |
-| 🐶 [bark](https://github.com/suno-ai/bark) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 bark``` |
-| 🔊 [vall-e-x](https://github.com/Plachtaa/VALL-E-X) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 vall-e-x``` |
-| mixtral-instruct Mixtral-8x7B-Instruct-v0.1 | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core mixtral-instruct``` |
-| [tinyllama-chat](https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF) [original model](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.3) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core tinyllama-chat``` |
-| [dolphin-2.5-mixtral-8x7b](https://huggingface.co/TheBloke/dolphin-2.5-mixtral-8x7b-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core dolphin-2.5-mixtral-8x7b``` |
-| 🐍 [mamba](https://github.com/state-spaces/mamba) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 mamba-chat``` |
-| animagine-xl | [Text to Image]({{%relref "docs/features/image-generation" %}}) |  ```docker run -ti -p 8080:8080 -e COMPEL=0 --gpus all localai/localai:{{< version >}}-cublas-cuda11 animagine-xl``` |
-| transformers-tinyllama | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 transformers-tinyllama``` |
-| [codellama-7b](https://huggingface.co/codellama/CodeLlama-7b-hf) | [LLM]({{%relref "docs/features/text-generation" %}})  | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11 codellama-7b``` |
-| [codellama-7b-gguf](https://huggingface.co/TheBloke/CodeLlama-7B-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}})  | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core codellama-7b-gguf``` |
-| [hermes-2-pro-mistral](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core hermes-2-pro-mistral``` |
-{{% /tab %}}
-
-
-{{% tab tabName="GPU (CUDA 12)" %}}
-
-> To know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version` see also [GPU acceleration]({{%relref "docs/features/gpu-acceleration" %}}).
-
-| Model | Category | Docker command |
-| --- | --- | --- |
-| [phi-2](https://huggingface.co/microsoft/phi-2) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core phi-2``` |
-| 🌋 [bakllava](https://github.com/SkunkworksAI/BakLLaVA) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core bakllava``` |
-| 🌋 [llava-1.5](https://llava-vl.github.io/) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda12-core llava-1.5``` |
-| 🌋 [llava-1.6-mistral](https://huggingface.co/cjpais/llava-1.6-mistral-7b-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda12-core llava-1.6-mistral``` |
-| 🌋 [llava-1.6-vicuna](https://huggingface.co/cmp-nct/llava-1.6-gguf) | [Multimodal LLM]({{%relref "docs/features/gpt-vision" %}}) | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-cublas-cuda12-core llava-1.6-vicuna``` |
-| [mistral-openorca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core mistral-openorca``` |
-| [bert-cpp](https://github.com/skeskinen/bert.cpp) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core bert-cpp``` |
-| [all-minilm-l6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) | [Embeddings]({{%relref "docs/features/embeddings" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 all-minilm-l6-v2``` |
-| whisper-base | [Audio to Text]({{%relref "docs/features/audio-to-text" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core whisper-base``` |
-| rhasspy-voice-en-us-amy | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core rhasspy-voice-en-us-amy``` |
-| 🐸 [coqui](https://github.com/coqui-ai/TTS) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 coqui``` |
-| 🐶 [bark](https://github.com/suno-ai/bark) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 bark``` |
-| 🔊 [vall-e-x](https://github.com/Plachtaa/VALL-E-X) | [Text to Audio]({{%relref "docs/features/text-to-audio" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 vall-e-x``` |
-| mixtral-instruct Mixtral-8x7B-Instruct-v0.1 | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core mixtral-instruct``` |
-| [tinyllama-chat](https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF) [original model](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.3) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core tinyllama-chat``` |
-| [dolphin-2.5-mixtral-8x7b](https://huggingface.co/TheBloke/dolphin-2.5-mixtral-8x7b-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core dolphin-2.5-mixtral-8x7b``` |
-| 🐍 [mamba](https://github.com/state-spaces/mamba) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 mamba-chat``` |
-| animagine-xl | [Text to Image]({{%relref "docs/features/image-generation" %}}) | ```docker run -ti -p 8080:8080 -e COMPEL=0 --gpus all localai/localai:{{< version >}}-cublas-cuda12 animagine-xl``` |
-| transformers-tinyllama | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 transformers-tinyllama``` |
-| [codellama-7b](https://huggingface.co/codellama/CodeLlama-7b-hf) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12 codellama-7b``` |
-| [codellama-7b-gguf](https://huggingface.co/TheBloke/CodeLlama-7B-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}})  | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core codellama-7b-gguf``` |
-| [hermes-2-pro-mistral](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF) | [LLM]({{%relref "docs/features/text-generation" %}}) | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core hermes-2-pro-mistral``` |
-{{% /tab %}}
-
-{{< /tabs >}}
-
-{{% alert icon="💡" %}}
-**Tip** You can actually specify multiple models to start an instance with the models loaded, for example to have both llava and phi-2 configured:
-
-```bash
-docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core llava phi-2
-```
-
-{{% /alert %}}

docs/content/docs/getting-started/container-images.md

@@ -143,7 +143,7 @@ The AIO Images are inheriting the same environment variables as the base images
 | Variable | Default | Description |
 | ---------------------| ------- | ----------- |
 | `PROFILE` | Auto-detected | The size of the model to use. Available: `cpu`, `gpu-8g` |
-| `MODELS` | Auto-detected | A list of models YAML Configuration file URI/URL (see also [running models]({{%relref "docs/advanced/run-other-models" %}})) |
+| `MODELS` | Auto-detected | A list of models YAML Configuration file URI/URL (see also [running models]({{%relref "docs/getting-started/models" %}})) |
 
 
 ## Standard container images

embedded/embedded.go

@@ -1,72 +0,0 @@
-package embedded
-
-import (
-	"embed"
-	"fmt"
-	"slices"
-	"strings"
-
-	"github.com/mudler/LocalAI/pkg/downloader"
-	"github.com/rs/zerolog/log"
-
-	"github.com/mudler/LocalAI/pkg/assets"
-	"gopkg.in/yaml.v3"
-)
-
-var modelShorteners map[string]string
-
-//go:embed model_library.yaml
-var modelLibrary []byte
-
-//go:embed models/*
-var embeddedModels embed.FS
-
-func ModelShortURL(s string) string {
-	if _, ok := modelShorteners[s]; ok {
-		s = modelShorteners[s]
-	}
-
-	return s
-}
-
-func init() {
-	err := yaml.Unmarshal(modelLibrary, &modelShorteners)
-	if err != nil {
-		log.Error().Err(err).Msg("error while unmarshalling embedded modelLibrary")
-	}
-}
-
-func GetRemoteLibraryShorteners(url string, basePath string) (map[string]string, error) {
-	remoteLibrary := map[string]string{}
-	uri := downloader.URI(url)
-	err := uri.DownloadWithCallback(basePath, func(_ string, i []byte) error {
-		return yaml.Unmarshal(i, &remoteLibrary)
-	})
-	if err != nil {
-		return nil, fmt.Errorf("error downloading remote library: %s", err.Error())
-	}
-
-	return remoteLibrary, err
-}
-
-// ExistsInModelsLibrary checks if a model exists in the embedded models library
-func ExistsInModelsLibrary(s string) bool {
-	f := fmt.Sprintf("%s.yaml", s)
-
-	a := []string{}
-
-	for _, j := range assets.ListFiles(embeddedModels) {
-		a = append(a, strings.TrimPrefix(j, "models/"))
-	}
-
-	return slices.Contains(a, f)
-}
-
-// ResolveContent returns the content in the embedded model library
-func ResolveContent(s string) ([]byte, error) {
-	if ExistsInModelsLibrary(s) {
-		return embeddedModels.ReadFile(fmt.Sprintf("models/%s.yaml", s))
-	}
-
-	return nil, fmt.Errorf("cannot find model %s", s)
-}

embedded/model_library.yaml

@@ -1,9 +0,0 @@
-### 
-###
-### This file contains the list of models that are available in the library
-### The URLs are automatically expanded when local-ai is being called with the key as argument
-###
-### For models with an entire YAML file to be embededd, put the file inside the `models`
-### directory, it will be automatically available with the file name as key (without the .yaml extension)
-
-phi-2:  "github://mudler/LocalAI-examples/configurations/phi-2.yaml@main"

embedded/models/all-minilm-l6-v2.yaml

@@ -1,13 +0,0 @@
-name: all-minilm-l6-v2
-backend: sentencetransformers
-embeddings: true
-parameters:
-  model: all-MiniLM-L6-v2
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
-      "input": "Your text string goes here",
-      "model": "all-minilm-l6-v2"
-    }'

embedded/models/animagine-xl.yaml

@@ -1,17 +0,0 @@
-name: animagine-xl
-parameters:
-  model: Linaqruf/animagine-xl
-backend: diffusers
-f16: true
-diffusers:
-  scheduler_type: euler_a
-
-usage: |
-        curl http://localhost:8080/v1/images/generations \
-          -H "Content-Type: application/json" \
-          -d '{
-            "prompt": "<positive prompt>|<negative prompt>",
-            "model": "animagine-xl",
-            "step": 51,
-            "size": "1024x1024"
-          }'

embedded/models/bakllava.yaml

@@ -1,40 +0,0 @@
-backend: llama-cpp
-context_size: 4096
-f16: true
-
-gpu_layers: 90
-mmap: true
-name: bakllava
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: bakllava-mmproj.gguf
-parameters:
-  model: bakllava.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-
-template:
-  chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
-    {{.Input}}
-    ASSISTANT:
-
-download_files:
-- filename: bakllava.gguf
-  uri: huggingface://mys/ggml_bakllava-1/ggml-model-q4_k.gguf
-- filename: bakllava-mmproj.gguf
-  uri: huggingface://mys/ggml_bakllava-1/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "bakllava",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

embedded/models/bark.yaml

@@ -1,8 +0,0 @@
-usage: |
-    bark works without any configuration, to test it, you can run the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{         
-     "backend": "bark",
-     "input":"Hello, this is a test!"
-    }' | aplay
-# TODO: This is a placeholder until we manage to pre-load HF/Transformers models

embedded/models/cerbero.yaml

@@ -1,24 +0,0 @@
-backend: llama
-context_size: 8192
-f16: false
-gpu_layers: 90
-name: cerbero
-mmap: false
-parameters:
-  model: huggingface://galatolo/cerbero-7b-gguf/ggml-model-Q8_0.gguf
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-template:
-  completion: "{{.Input}}"
-  chat: "Questa è una conversazione tra un umano ed un assistente AI.\n{{.Input}}\n[|Assistente|]  "
-roles:
-  user: "[|Umano|] "
-  system: "[|Umano|] "
-  assistant: "[|Assistente|] "
-
-stopwords:
-- "[|Umano|]"
-
-trimsuffix: 
-- "\n"

embedded/models/codellama-7b-gguf.yaml

@@ -1,20 +0,0 @@
-name: codellama-7b-gguf
-backend: transformers
-parameters:
-  model: huggingface://TheBloke/CodeLlama-7B-GGUF/codellama-7b.Q4_K_M.gguf
-  temperature: 0.5
-  top_k: 40
-  seed: -1
-  top_p: 0.95
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-
-context_size: 4096
-f16: true
-gpu_layers: 90
-usage: |
-      curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-          "model": "codellama-7b-gguf",
-          "prompt": "import socket\n\ndef ping_exponential_backoff(host: str):"
-      }'

embedded/models/codellama-7b.yaml

@@ -1,14 +0,0 @@
-name: codellama-7b
-backend: transformers
-type: AutoModelForCausalLM
-parameters:
-  model: codellama/CodeLlama-7b-hf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-
-usage: |
-      curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-          "model": "codellama-7b",
-          "prompt": "import socket\n\ndef ping_exponential_backoff(host: str):"
-      }'

embedded/models/coqui.yaml

@@ -1,9 +0,0 @@
-usage: |
-    coqui works without any configuration, to test it, you can run the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{         
-        "backend": "coqui",
-        "model": "tts_models/en/ljspeech/glow-tts",
-        "input":"Hello, this is a test!"
-        }'
-# TODO: This is a placeholder until we manage to pre-load HF/Transformers models

embedded/models/dolphin-2.5-mixtral-8x7b.yaml

@@ -1,31 +0,0 @@
-name: dolphin-mixtral-8x7b
-mmap: true
-parameters:
-  model: huggingface://TheBloke/dolphin-2.5-mixtral-8x7b-GGUF/dolphin-2.5-mixtral-8x7b.Q2_K.gguf
-  temperature: 0.5
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}<|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-gpu_layers: 90
-
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "dolphin-mixtral-8x7b",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/hermes-2-pro-mistral.yaml

@@ -1,59 +0,0 @@
-name: hermes-2-pro-mistral
-mmap: true
-parameters:
-  model: huggingface://NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/Hermes-2-Pro-Mistral-7B.Q6_K.gguf
-
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
-    {{- if .FunctionCall }}
-    <tool_call>
-    {{- else if eq .RoleName "tool" }}
-    <tool_response>
-    {{- end }}
-    {{- if .Content}}
-    {{.Content }}
-    {{- end }}
-    {{- if .FunctionCall}}
-    {{toJson .FunctionCall}}
-    {{- end }}
-    {{- if .FunctionCall }}
-    </tool_call>
-    {{- else if eq .RoleName "tool" }}
-    </tool_response>
-    {{- end }}<|im_end|>
-  # https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF#prompt-format-for-function-calling
-  function: |
-    <|im_start|>system
-    You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-    <tools>
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    </tools>
-    Use the following pydantic model json schema for each tool call you will make:
-    {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}
-    For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
-    <tool_call>
-    {'arguments': <args-dict>, 'name': <function-name>}
-    </tool_call><|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
-    <tool_call>
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- "\n</tool_call>"
-- "\n\n\n"
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "hermes-2-pro-mistral",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/llama3-instruct.yaml

@@ -1,48 +0,0 @@
-name: llama3-8b-instruct
-mmap: true
-parameters:
-  model: huggingface://second-state/Llama-3-8B-Instruct-GGUF/Meta-Llama-3-8B-Instruct-Q5_K_M.gguf
-
-template:
-  chat_message: |
-    <|start_header_id|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}<|end_header_id|>
-
-    {{ if .FunctionCall -}}
-    Function call:
-    {{ else if eq .RoleName "tool" -}}
-    Function response:
-    {{ end -}}
-    {{ if .Content -}}
-    {{.Content -}}
-    {{ else if .FunctionCall -}}
-    {{ toJson .FunctionCall -}}
-    {{ end -}}
-    <|eot_id|>
-  function: |
-    <|start_header_id|>system<|end_header_id|>
-
-    You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-    <tools>
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    </tools>
-    Use the following pydantic model json schema for each tool call you will make:
-    {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-    Function call:
-  chat: |
-    <|begin_of_text|>{{.Input }}
-    <|start_header_id|>assistant<|end_header_id|>
-  completion: |
-    {{.Input}}
-context_size: 8192
-f16: true
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- "<|eot_id|>"
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "llama3-8b-instruct",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/llava-1.5.yaml

@@ -1,33 +0,0 @@
-backend: llama-cpp
-context_size: 4096
-f16: true
-
-gpu_layers: 90
-mmap: true
-name: llava-1.5
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: llava-v1.5-7b-mmproj-Q8_0.gguf
-parameters:
-  model: llava-v1.5-7b-Q4_K.gguf
-
-template:
-  chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
-    {{.Input}}
-    ASSISTANT:
-
-download_files:
-- filename: llava-v1.5-7b-Q4_K.gguf
-  uri: huggingface://jartine/llava-v1.5-7B-GGUF/llava-v1.5-7b-Q4_K.gguf
-- filename: llava-v1.5-7b-mmproj-Q8_0.gguf
-  uri: huggingface://jartine/llava-v1.5-7B-GGUF/llava-v1.5-7b-mmproj-Q8_0.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "llava-1.5",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

embedded/models/llava-1.6-mistral.yaml

@@ -1,33 +0,0 @@
-backend: llama-cpp
-context_size: 4096
-f16: true
-
-gpu_layers: 90
-mmap: true
-name: llava-1.6-mistral
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: llava-v1.6-7b-mmproj-f16.gguf
-parameters:
-  model: llava-v1.6-mistral-7b.gguf
-
-template:
-  chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
-    {{.Input}}
-    ASSISTANT:
-
-download_files:
-- filename: llava-v1.6-mistral-7b.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/llava-v1.6-mistral-7b.Q6_K.gguf
-- filename: llava-v1.6-7b-mmproj-f16.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "llava-1.6-mistral",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

embedded/models/llava-1.6-vicuna.yaml

@@ -1,37 +0,0 @@
-backend: llama-cpp
-context_size: 4096
-f16: true
-
-gpu_layers: 90
-mmap: true
-name: llava-1.6-vicuna
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: mmproj-vicuna7b-f16.gguf
-parameters:
-  model: vicuna-7b-q5_k.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-
-template:
-  chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
-    {{.Input}}
-    ASSISTANT:
-
-download_files:
-- filename: vicuna-7b-q5_k.gguf
-  uri: https://huggingface.co/cmp-nct/llava-1.6-gguf/resolve/main/vicuna-7b-q5_k.gguf
-- filename: mmproj-vicuna7b-f16.gguf
-  uri: https://huggingface.co/cmp-nct/llava-1.6-gguf/resolve/main/mmproj-vicuna7b-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "llava-1.6-vicuna",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

embedded/models/llava.yaml

@@ -1,40 +0,0 @@
-backend: llama-cpp
-context_size: 4096
-f16: true
-
-gpu_layers: 90
-mmap: true
-name: llava
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: bakllava-mmproj.gguf
-parameters:
-  model: bakllava.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-
-template:
-  chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
-    {{.Input}}
-    ASSISTANT:
-
-download_files:
-- filename: bakllava.gguf
-  uri: huggingface://mys/ggml_bakllava-1/ggml-model-q4_k.gguf
-- filename: bakllava-mmproj.gguf
-  uri: huggingface://mys/ggml_bakllava-1/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "llava",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'

embedded/models/mamba-bagel.yaml

@@ -1,21 +0,0 @@
-name: bagel
-backend: mamba
-parameters:
-  model: "jondurbin/bagel-dpo-2.8b-v0.2"
-systemPrompt: "You are a helpful, unbiased, uncensored assistant."
-template:
-  chat_message: |
-    {{if eq .RoleName "assistant"}}{{.Content}}{{else}}
-    [INST]
-    {{if .SystemPrompt}}{{.SystemPrompt}}{{else if eq .RoleName "system"}}<<SYS>>{{.Content}}<</SYS>>
-
-    {{else if .Content}}{{.Content}}{{end}}
-    [/INST]
-    {{end}}
-  completion: |
-    {{.Input}}
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-      "model": "bagel",
-      "messages": [{"role": "user", "content": "how are you doing"}],
-    }'

embedded/models/mamba-chat.yaml

@@ -1,28 +0,0 @@
-name: mamba-chat
-backend: mamba
-parameters:
-  model: "havenhq/mamba-chat"
-
-trimsuffix: 
-- <|endoftext|>
-
-# https://huggingface.co/HuggingFaceH4/zephyr-7b-beta/blob/main/tokenizer_config.json
-#   "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
-template:
-  chat_message: |
-    {{if eq .RoleName "assistant"}}<|assistant|>{{else if eq .RoleName "system"}}<|system|>{{else if eq .RoleName "user"}}<|user|>{{end}}
-    {{if .Content}}{{.Content}}{{end}}
-    </s>
-    
-  chat: |
-    {{.Input}}
-    <|assistant|>
-    
-  completion: |
-    {{.Input}}
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-      "model": "mamba-chat",
-      "messages": [{"role": "user", "content": "how are you doing"}],
-      "temperature": 0.7
-    }'

embedded/models/mistral-openorca.yaml

@@ -1,32 +0,0 @@
-name: mistral-openorca
-mmap: true
-parameters:
-  model: huggingface://TheBloke/Mistral-7B-OpenOrca-GGUF/mistral-7b-openorca.Q6_K.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}
-    <|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-- <dummy32000>
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "mistral-openorca",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/mixtral-instruct.yaml

@@ -1,25 +0,0 @@
-name: mixtral-instruct
-mmap: true
-parameters:
-  model: huggingface://TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/mixtral-8x7b-instruct-v0.1.Q2_K.gguf
-  temperature: 0.2
-  top_k: 40
-  seed: -1
-  top_p: 0.95
-mirostat: 2
-mirostat_eta: 1.0
-mirostat_tau: 1.0
-
-template:
-  chat: &chat |
-    [INST] {{.Input}} [/INST]    
-  completion: *chat
-context_size: 4096
-f16: true
-gpu_layers: 90
-
-usage: |
-      curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-          "model": "mixtral-instruct",
-          "prompt": "How are you doing?"
-      }'

embedded/models/phi-2-chat.yaml

@@ -1,25 +0,0 @@
-name: phi-2-chat
-mmap: true
-parameters:
-  model: huggingface://l3utterfly/phi-2-layla-v1-chatml-gguf/phi-2-layla-v1-chatml-Q8_0.gguf
-
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}
-    <|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-- <dummy32000>
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "phi-2-chat",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/phi-2-orange.yaml

@@ -1,30 +0,0 @@
-name: phi-2-orange
-mmap: true
-parameters:
-  model: huggingface://l3utterfly/phi-2-orange-GGUF/phi-2-orange.Q6_K.gguf
-
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}
-    <|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-- <dummy32000>
-
-description: |
-  This model is a chatbot that can be used for general conversation.
-  [Model card](https://huggingface.co/TheBloke/phi-2-orange-GGUF)
-
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "phi-2-orange",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/rhasspy-voice-en-us-amy.yaml

@@ -1,13 +0,0 @@
-name: voice-en-us-amy-low
-download_files:
-  - filename: voice-en-us-amy-low.tar.gz
-    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
-
-
-usage: |
-    To test if this model works as expected, you can use the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
-      "model":"en-us-amy-low.onnx",
-      "input": "Hi, this is a test."
-    }'

embedded/models/tinyllama-chat.yaml

@@ -1,29 +0,0 @@
-name: tinyllama-chat
-mmap: true
-parameters:
-  model: huggingface://TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF/tinyllama-1.1b-chat-v0.3.Q8_0.gguf
-  temperature: 0.2
-  top_k: 40
-  seed: -1
-  top_p: 0.95
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}<|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-    
-  completion: |
-    {{.Input}}
-context_size: 4096
-f16: true
-stopwords:
-- <|im_end|>
-gpu_layers: 90
-
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-          "model": "tinyllama-chat",
-          "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
-      }'

embedded/models/transformers-tinyllama.yaml

@@ -1,31 +0,0 @@
-name: tinyllama-chat
-backend: transformers
-type: AutoModelForCausalLM
-
-parameters:
-  model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  max_tokens: 4096
-
-template:
-  chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "user"}}user{{end}}
-    {{if .Content}}{{.Content}}{{end}}<|im_end|>
-  chat: |
-    {{.Input}}
-    <|im_start|>assistant
-    
-  completion: |
-    {{.Input}}
-
-stopwords:
-- <|im_end|>
-
-usage: |
-      curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "tinyllama-chat",
-        "messages": [{"role": "user", "content": "Say this is a test!"}],
-        "temperature": 0.7
-      }'

embedded/models/vall-e-x.yaml

@@ -1,8 +0,0 @@
-usage: |
-    Vall-e-x works without any configuration, to test it, you can run the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{         
-     "backend": "vall-e-x",
-     "input":"Hello, this is a test!"
-    }' | aplay
-# TODO: This is a placeholder until we manage to pre-load HF/Transformers models

embedded/models/whisper-base.yaml

@@ -1,18 +0,0 @@
-name: whisper
-backend: whisper
-parameters:
-  model: ggml-whisper-base.bin
-
-usage: |
-    ## example audio file
-    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
-
-    ## Send the example audio file to the transcriptions endpoint
-    curl http://localhost:8080/v1/audio/transcriptions \
-         -H "Content-Type: multipart/form-data" \
-         -F file="@$PWD/gb1.ogg" -F model="whisper"
-
-download_files:
-- filename: "ggml-whisper-base.bin"
-  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
-  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

pkg/startup/model_preload.go

@@ -9,7 +9,6 @@ import (
 
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/gallery"
-	"github.com/mudler/LocalAI/embedded"
 	"github.com/mudler/LocalAI/pkg/downloader"
 	"github.com/mudler/LocalAI/pkg/utils"
 	"github.com/rs/zerolog/log"
@@ -18,42 +17,17 @@ import (
 // InstallModels will preload models from the given list of URLs and galleries
 // It will download the model if it is not already present in the model path
 // It will also try to resolve if the model is an embedded model YAML configuration
-func InstallModels(galleries []config.Gallery, modelLibraryURL string, modelPath string, enforceScan bool, downloadStatus func(string, string, string, float64), models ...string) error {
+func InstallModels(galleries []config.Gallery, modelPath string, enforceScan bool, downloadStatus func(string, string, string, float64), models ...string) error {
 	// create an error that groups all errors
 	var err error
 
-	lib, _ := embedded.GetRemoteLibraryShorteners(modelLibraryURL, modelPath)
-
 	for _, url := range models {
 		// As a best effort, try to resolve the model from the remote library
 		// if it's not resolved we try with the other method below
-		if modelLibraryURL != "" {
-			if lib[url] != "" {
-				log.Debug().Msgf("[startup] model configuration is defined remotely: %s (%s)", url, lib[url])
-				url = lib[url]
-			}
-		}
 
-		url = embedded.ModelShortURL(url)
 		uri := downloader.URI(url)
 
 		switch {
-		case embedded.ExistsInModelsLibrary(url):
-			modelYAML, e := embedded.ResolveContent(url)
-			// If we resolve something, just save it to disk and continue
-			if e != nil {
-				log.Error().Err(e).Msg("error resolving model content")
-				err = errors.Join(err, e)
-				continue
-			}
-
-			log.Debug().Msgf("[startup] resolved embedded model: %s", url)
-			md5Name := utils.MD5(url)
-			modelDefinitionFilePath := filepath.Join(modelPath, md5Name) + ".yaml"
-			if e := os.WriteFile(modelDefinitionFilePath, modelYAML, 0600); err != nil {
-				log.Error().Err(e).Str("filepath", modelDefinitionFilePath).Msg("error writing model definition")
-				err = errors.Join(err, e)
-			}
 		case uri.LooksLikeOCI():
 			log.Debug().Msgf("[startup] resolved OCI model to download: %s", url)
 

pkg/startup/model_preload_test.go

@@ -7,7 +7,6 @@ import (
 
 	"github.com/mudler/LocalAI/core/config"
 	. "github.com/mudler/LocalAI/pkg/startup"
-	"github.com/mudler/LocalAI/pkg/utils"
 
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
@@ -16,29 +15,13 @@ import (
 var _ = Describe("Preload test", func() {
 
 	Context("Preloading from strings", func() {
-		It("loads from remote url", func() {
-			tmpdir, err := os.MkdirTemp("", "")
-			Expect(err).ToNot(HaveOccurred())
-			libraryURL := "https://raw.githubusercontent.com/mudler/LocalAI/master/embedded/model_library.yaml"
-			fileName := fmt.Sprintf("%s.yaml", "phi-2")
-
-			InstallModels([]config.Gallery{}, libraryURL, tmpdir, true, nil, "phi-2")
-
-			resultFile := filepath.Join(tmpdir, fileName)
-
-			content, err := os.ReadFile(resultFile)
-			Expect(err).ToNot(HaveOccurred())
-
-			Expect(string(content)).To(ContainSubstring("name: phi-2"))
-		})
-
 		It("loads from embedded full-urls", func() {
 			tmpdir, err := os.MkdirTemp("", "")
 			Expect(err).ToNot(HaveOccurred())
 			url := "https://raw.githubusercontent.com/mudler/LocalAI-examples/main/configurations/phi-2.yaml"
 			fileName := fmt.Sprintf("%s.yaml", "phi-2")
 
-			InstallModels([]config.Gallery{}, "", tmpdir, true, nil, url)
+			InstallModels([]config.Gallery{}, tmpdir, true, nil, url)
 
 			resultFile := filepath.Join(tmpdir, fileName)
 
@@ -47,45 +30,13 @@ var _ = Describe("Preload test", func() {
 
 			Expect(string(content)).To(ContainSubstring("name: phi-2"))
 		})
-		It("loads from embedded short-urls", func() {
-			tmpdir, err := os.MkdirTemp("", "")
-			Expect(err).ToNot(HaveOccurred())
-			url := "phi-2"
-
-			InstallModels([]config.Gallery{}, "", tmpdir, true, nil, url)
-
-			entry, err := os.ReadDir(tmpdir)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(entry).To(HaveLen(1))
-			resultFile := entry[0].Name()
-
-			content, err := os.ReadFile(filepath.Join(tmpdir, resultFile))
-			Expect(err).ToNot(HaveOccurred())
-
-			Expect(string(content)).To(ContainSubstring("name: phi-2"))
-		})
-		It("loads from embedded models", func() {
-			tmpdir, err := os.MkdirTemp("", "")
-			Expect(err).ToNot(HaveOccurred())
-			url := "mistral-openorca"
-			fileName := fmt.Sprintf("%s.yaml", utils.MD5(url))
-
-			InstallModels([]config.Gallery{}, "", tmpdir, true, nil, url)
-
-			resultFile := filepath.Join(tmpdir, fileName)
-
-			content, err := os.ReadFile(resultFile)
-			Expect(err).ToNot(HaveOccurred())
-
-			Expect(string(content)).To(ContainSubstring("name: mistral-openorca"))
-		})
 		It("downloads from urls", func() {
 			tmpdir, err := os.MkdirTemp("", "")
 			Expect(err).ToNot(HaveOccurred())
 			url := "huggingface://TheBloke/TinyLlama-1.1B-Chat-v0.3-GGUF/tinyllama-1.1b-chat-v0.3.Q2_K.gguf"
 			fileName := fmt.Sprintf("%s.gguf", "tinyllama-1.1b-chat-v0.3.Q2_K")
 
-			err = InstallModels([]config.Gallery{}, "", tmpdir, false, nil, url)
+			err = InstallModels([]config.Gallery{}, tmpdir, false, nil, url)
 			Expect(err).ToNot(HaveOccurred())
 
 			resultFile := filepath.Join(tmpdir, fileName)