mirror of https://github.com/mudler/LocalAI.git
docs: improve getting started (#1553)
* docs: improve getting started Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> * cleanups * Use dockerhub links * Shrink command to minimum --------- Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
This commit is contained in:
Ettore Di Giacinto
GitHub
parent
0a06c80801
commit
ce724a7e55
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@ -20,6 +20,9 @@
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</a>
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</p>
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[<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker">](https://hub.docker.com/r/localai/localai)
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[<img src="https://img.shields.io/badge/quay.io-images-important.svg?">](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest)
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> :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/)
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>
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> [💻 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)
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@ -18,6 +18,9 @@ title = "LocalAI"
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</a>
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</p>
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[<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker">](https://hub.docker.com/r/localai/localai)
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[<img src="https://img.shields.io/badge/quay.io-images-important.svg?">](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest)
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> 💡 Get help - [❓FAQ](https://localai.io/faq/) [❓How tos](https://localai.io/howtos/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [💭Discord](https://discord.gg/uJAeKSAGDy)
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>
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> [💻 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)
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@ -365,6 +365,36 @@ docker run --env REBUILD=true localai
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docker run --env-file .env localai
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```
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### CLI parameters
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You can control LocalAI with command line arguments, to specify a binding address, or the number of threads.
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| Parameter | Environmental Variable | Default Variable | Description |
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| ------------------------------ | ------------------------------- | -------------------------------------------------- | ------------------------------------------------------------------- |
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| --f16 | $F16 | false | Enable f16 mode |
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| --debug | $DEBUG | false | Enable debug mode |
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| --cors | $CORS | false | Enable CORS support |
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| --cors-allow-origins value | $CORS_ALLOW_ORIGINS | | Specify origins allowed for CORS |
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| --threads value | $THREADS | 4 | Number of threads to use for parallel computation |
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| --models-path value | $MODELS_PATH | ./models | Path to the directory containing models used for inferencing |
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| --preload-models value | $PRELOAD_MODELS | | List of models to preload in JSON format at startup |
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| --preload-models-config value | $PRELOAD_MODELS_CONFIG | | A config with a list of models to apply at startup. Specify the path to a YAML config file |
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| --config-file value | $CONFIG_FILE | | Path to the config file |
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| --address value | $ADDRESS | :8080 | Specify the bind address for the API server |
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| --image-path value | $IMAGE_PATH | | Path to the directory used to store generated images |
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| --context-size value | $CONTEXT_SIZE | 512 | Default context size of the model |
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| --upload-limit value | $UPLOAD_LIMIT | 15 | Default upload limit in megabytes (audio file upload) |
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| --galleries | $GALLERIES | | Allows to set galleries from command line |
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|--parallel-requests | $PARALLEL_REQUESTS | false | Enable backends to handle multiple requests in parallel. This is for backends that supports multiple requests in parallel, like llama.cpp or vllm |
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| --single-active-backend | $SINGLE_ACTIVE_BACKEND | false | Allow only one backend to be running |
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| --api-keys value | $API_KEY | empty | List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys.
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| --enable-watchdog-idle | $WATCHDOG_IDLE | false | Enable watchdog for stopping idle backends. This will stop the backends if are in idle state for too long. (default: false) [$WATCHDOG_IDLE]
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| --enable-watchdog-busy | $WATCHDOG_BUSY | false | Enable watchdog for stopping busy backends that exceed a defined threshold.|
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| --watchdog-busy-timeout value | $WATCHDOG_BUSY_TIMEOUT | 5m | Watchdog timeout. This will restart the backend if it crashes. |
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| --watchdog-idle-timeout value | $WATCHDOG_IDLE_TIMEOUT | 15m | Watchdog idle timeout. This will restart the backend if it crashes. |
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| --preload-backend-only | $PRELOAD_BACKEND_ONLY | false | If set, the api is NOT launched, and only the preloaded models / backends are started. This is intended for multi-node setups. |
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| --external-grpc-backends | EXTERNAL_GRPC_BACKENDS | none | Comma separated list of external gRPC backends to use. Format: `name:host:port` or `name:/path/to/file` |
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### Extra backends
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@ -1,4 +1,4 @@
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+++
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disableToc = false
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title = "Getting started"
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@ -6,7 +6,11 @@ weight = 1
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url = '/basics/getting_started/'
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+++
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`LocalAI` is available as a container image and binary. It can be used with docker, podman, kubernetes and any container engine. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
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`LocalAI` is available as a container image and binary. It can be used with docker, podman, kubernetes and any container engine.
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Container images are published to [quay.io](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest) and [Dockerhub](https://hub.docker.com/r/localai/localai).
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[<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker">](https://hub.docker.com/r/localai/localai)
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[<img src="https://img.shields.io/badge/quay.io-images-important.svg?">](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest)
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See also our [How to]({{%relref "howtos" %}}) section for end-to-end guided examples curated by the community.
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@ -113,6 +117,11 @@ helm show values go-skynet/local-ai > values.yaml
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helm install local-ai go-skynet/local-ai -f values.yaml
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```
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{{% /tab %}}
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{{% tab name="From binary" %}}
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LocalAI binary releases are available in [Github](https://github.com/go-skynet/LocalAI/releases).
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{{% /tab %}}
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{{% tab name="From source" %}}
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@ -133,37 +142,44 @@ Note: this feature currently is available only on master builds.
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You can run `local-ai` directly with a model name, and it will download the model and start the API with the model loaded.
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#### CPU-only
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> Don't need GPU acceleration? use the CPU images which are lighter and do not have Nvidia dependencies
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> You can use these images which are lighter and do not have Nvidia dependencies
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{{< tabs >}}
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{{% tab name="CPU-only" %}}
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| Model | Docker command |
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| --- | --- |
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| phi2 | ```docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-ffmpeg-core phi-2``` |
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| llava | ```docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-ffmpeg-core llava``` |
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| mistral-openorca | ```docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-ffmpeg-core mistral-openorca``` |
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| phi2 | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core phi-2``` |
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| llava | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core llava``` |
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| mistral-openorca | ```docker run -ti -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core mistral-openorca``` |
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#### GPU (CUDA 11)
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{{% /tab %}}
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{{% tab name="GPU (CUDA 11)" %}}
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For accellerated images with Nvidia and CUDA11, use the following images.
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> If you do not know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version`
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> To know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version`
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|
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| Model | Docker command |
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| --- | --- |
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| phi-2 | ```docker run -p 8080:8080 --gpus all -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda11-core phi-2``` |
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| llava | ```docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda11-core llava``` |
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| mistral-openorca | ```docker run -p 8080:8080 --gpus all -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda11-core mistral-openorca``` |
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| phi-2 | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core phi-2``` |
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| llava | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core llava``` |
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| mistral-openorca | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda11-core mistral-openorca``` |
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|
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#### GPU (CUDA 12)
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{{% /tab %}}
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||||
|
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> If you do not know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version`
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{{% tab name="GPU (CUDA 12)" %}}
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> To know which version of CUDA do you have available, you can check with `nvidia-smi` or `nvcc --version`
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|
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| Model | Docker command |
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| --- | --- |
|
||||
| phi-2 | ```docker run -p 8080:8080 -ti --gpus all --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda12-core phi-2``` |
|
||||
| llava | ```docker run -p 8080:8080 -ti --gpus all --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda12-core llava``` |
|
||||
| mistral-openorca | ```docker run -p 8080:8080 --gpus all -ti --rm quay.io/go-skynet/local-ai:{{< version >}}-cublas-cuda12-core mistral-openorca``` |
|
||||
| phi-2 | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core phi-2``` |
|
||||
| llava | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core llava``` |
|
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| mistral-openorca | ```docker run -ti -p 8080:8080 --gpus all localai/localai:{{< version >}}-cublas-cuda12-core mistral-openorca``` |
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{{% /tab %}}
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{{< /tabs >}}
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{{% notice note %}}
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@ -182,7 +198,7 @@ local-ai --models github://owner/repo/file.yaml@branch --models github://owner/r
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For example, to start localai with phi-2, it's possible for instance to also use a full config file from gists:
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```bash
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./local-ai https://gist.githubusercontent.com/mudler/ad601a0488b497b69ec549150d9edd18/raw/a8a8869ef1bb7e3830bf5c0bae29a0cce991ff8d/phi-2.yaml
|
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docker run -p 8080:8080 localai/localai:{{< version >}}-ffmpeg-core https://gist.githubusercontent.com/mudler/ad601a0488b497b69ec549150d9edd18/raw/a8a8869ef1bb7e3830bf5c0bae29a0cce991ff8d/phi-2.yaml
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```
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|
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The file should be a valid YAML configuration file, for the full syntax see [advanced]({{%relref "advanced" %}}).
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|
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@ -284,208 +300,9 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
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|
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To see other model configurations, see also the example section [here](https://github.com/mudler/LocalAI/tree/master/examples/configurations).
|
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|
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|
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### From binaries
|
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|
||||
LocalAI binary releases are available in [Github](https://github.com/go-skynet/LocalAI/releases).
|
||||
|
||||
You can control LocalAI with command line arguments, to specify a binding address, or the number of threads.
|
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|
||||
### CLI parameters
|
||||
|
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| Parameter | Environmental Variable | Default Variable | Description |
|
||||
| ------------------------------ | ------------------------------- | -------------------------------------------------- | ------------------------------------------------------------------- |
|
||||
| --f16 | $F16 | false | Enable f16 mode |
|
||||
| --debug | $DEBUG | false | Enable debug mode |
|
||||
| --cors | $CORS | false | Enable CORS support |
|
||||
| --cors-allow-origins value | $CORS_ALLOW_ORIGINS | | Specify origins allowed for CORS |
|
||||
| --threads value | $THREADS | 4 | Number of threads to use for parallel computation |
|
||||
| --models-path value | $MODELS_PATH | ./models | Path to the directory containing models used for inferencing |
|
||||
| --preload-models value | $PRELOAD_MODELS | | List of models to preload in JSON format at startup |
|
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| --preload-models-config value | $PRELOAD_MODELS_CONFIG | | A config with a list of models to apply at startup. Specify the path to a YAML config file |
|
||||
| --config-file value | $CONFIG_FILE | | Path to the config file |
|
||||
| --address value | $ADDRESS | :8080 | Specify the bind address for the API server |
|
||||
| --image-path value | $IMAGE_PATH | | Path to the directory used to store generated images |
|
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| --context-size value | $CONTEXT_SIZE | 512 | Default context size of the model |
|
||||
| --upload-limit value | $UPLOAD_LIMIT | 15 | Default upload limit in megabytes (audio file upload) |
|
||||
| --galleries | $GALLERIES | | Allows to set galleries from command line |
|
||||
|--parallel-requests | $PARALLEL_REQUESTS | false | Enable backends to handle multiple requests in parallel. This is for backends that supports multiple requests in parallel, like llama.cpp or vllm |
|
||||
| --single-active-backend | $SINGLE_ACTIVE_BACKEND | false | Allow only one backend to be running |
|
||||
| --api-keys value | $API_KEY | empty | List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys.
|
||||
| --enable-watchdog-idle | $WATCHDOG_IDLE | false | Enable watchdog for stopping idle backends. This will stop the backends if are in idle state for too long. (default: false) [$WATCHDOG_IDLE]
|
||||
| --enable-watchdog-busy | $WATCHDOG_BUSY | false | Enable watchdog for stopping busy backends that exceed a defined threshold.|
|
||||
| --watchdog-busy-timeout value | $WATCHDOG_BUSY_TIMEOUT | 5m | Watchdog timeout. This will restart the backend if it crashes. |
|
||||
| --watchdog-idle-timeout value | $WATCHDOG_IDLE_TIMEOUT | 15m | Watchdog idle timeout. This will restart the backend if it crashes. |
|
||||
| --preload-backend-only | $PRELOAD_BACKEND_ONLY | false | If set, the api is NOT launched, and only the preloaded models / backends are started. This is intended for multi-node setups. |
|
||||
| --external-grpc-backends | EXTERNAL_GRPC_BACKENDS | none | Comma separated list of external gRPC backends to use. Format: `name:host:port` or `name:/path/to/file` |
|
||||
|
||||
### Run LocalAI in Kubernetes
|
||||
|
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LocalAI can be installed inside Kubernetes with helm.
|
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|
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Requirements:
|
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- SSD storage class, or disable `mmap` to load the whole model in memory
|
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|
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<details>
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By default, the helm chart will install LocalAI instance using the ggml-gpt4all-j model without persistent storage.
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|
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1. Add the helm repo
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```bash
|
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helm repo add go-skynet https://go-skynet.github.io/helm-charts/
|
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```
|
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2. Install the helm chart:
|
||||
```bash
|
||||
helm repo update
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helm install local-ai go-skynet/local-ai -f values.yaml
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```
|
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> **Note:** For further configuration options, see the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
|
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### Example values
|
||||
Deploy a single LocalAI pod with 6GB of persistent storage serving up a `ggml-gpt4all-j` model with custom prompt.
|
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```yaml
|
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### values.yaml
|
||||
|
||||
replicaCount: 1
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||||
|
||||
deployment:
|
||||
image: quay.io/go-skynet/local-ai:latest ##(This is for CPU only, to use GPU change it to a image that supports GPU IE "v2.0.0-cublas-cuda12-core")
|
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env:
|
||||
threads: 4
|
||||
context_size: 512
|
||||
modelsPath: "/models"
|
||||
|
||||
resources:
|
||||
{}
|
||||
# We usually recommend not to specify default resources and to leave this as a conscious
|
||||
# choice for the user. This also increases chances charts run on environments with little
|
||||
# resources, such as Minikube. If you do want to specify resources, uncomment the following
|
||||
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
|
||||
# limits:
|
||||
# cpu: 100m
|
||||
# memory: 128Mi
|
||||
# requests:
|
||||
# cpu: 100m
|
||||
# memory: 128Mi
|
||||
|
||||
# Prompt templates to include
|
||||
# Note: the keys of this map will be the names of the prompt template files
|
||||
promptTemplates:
|
||||
{}
|
||||
# ggml-gpt4all-j.tmpl: |
|
||||
# The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
|
||||
# ### Prompt:
|
||||
# {{.Input}}
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||||
# ### Response:
|
||||
|
||||
# Models to download at runtime
|
||||
models:
|
||||
# Whether to force download models even if they already exist
|
||||
forceDownload: false
|
||||
|
||||
# The list of URLs to download models from
|
||||
# Note: the name of the file will be the name of the loaded model
|
||||
list:
|
||||
- url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
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||||
# basicAuth: base64EncodedCredentials
|
||||
|
||||
# Persistent storage for models and prompt templates.
|
||||
# PVC and HostPath are mutually exclusive. If both are enabled,
|
||||
# PVC configuration takes precedence. If neither are enabled, ephemeral
|
||||
# storage is used.
|
||||
persistence:
|
||||
pvc:
|
||||
enabled: false
|
||||
size: 6Gi
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
|
||||
annotations: {}
|
||||
|
||||
# Optional
|
||||
storageClass: ~
|
||||
|
||||
hostPath:
|
||||
enabled: false
|
||||
path: "/models"
|
||||
|
||||
service:
|
||||
type: ClusterIP
|
||||
port: 80
|
||||
annotations: {}
|
||||
# If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
|
||||
# service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
|
||||
|
||||
ingress:
|
||||
enabled: false
|
||||
className: ""
|
||||
annotations:
|
||||
{}
|
||||
# kubernetes.io/ingress.class: nginx
|
||||
# kubernetes.io/tls-acme: "true"
|
||||
hosts:
|
||||
- host: chart-example.local
|
||||
paths:
|
||||
- path: /
|
||||
pathType: ImplementationSpecific
|
||||
tls: []
|
||||
# - secretName: chart-example-tls
|
||||
# hosts:
|
||||
# - chart-example.local
|
||||
|
||||
nodeSelector: {}
|
||||
|
||||
tolerations: []
|
||||
|
||||
affinity: {}
|
||||
```
|
||||
</details>
|
||||
|
||||
|
||||
### Other examples
|
||||
### Examples
|
||||
|
||||
|
||||
|
||||
To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
|
||||
|
||||
|
||||
### Clients
|
||||
|
||||
OpenAI clients are already compatible with LocalAI by overriding the basePath, or the target URL.
|
||||
|
||||
## Javascript
|
||||
|
||||
<details>
|
||||
|
||||
https://github.com/openai/openai-node/
|
||||
|
||||
```javascript
|
||||
import { Configuration, OpenAIApi } from 'openai';
|
||||
|
||||
const configuration = new Configuration({
|
||||
basePath: `http://localhost:8080/v1`
|
||||
});
|
||||
const openai = new OpenAIApi(configuration);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
## Python
|
||||
|
||||
<details>
|
||||
|
||||
https://github.com/openai/openai-python
|
||||
|
||||
Set the `OPENAI_API_BASE` environment variable, or by code:
|
||||
|
||||
```python
|
||||
import openai
|
||||
|
||||
openai.api_base = "http://localhost:8080/v1"
|
||||
|
||||
# create a chat completion
|
||||
chat_completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])
|
||||
|
||||
# print the completion
|
||||
print(completion.choices[0].message.content)
|
||||
```
|
||||
|
||||
</details>
|
||||
|
|
|
|||
Loading…
Reference in New Issue