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96 lines
2.6 KiB
Markdown
96 lines
2.6 KiB
Markdown
## Advanced configuration
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This section contains examples on how to install models manually with config files.
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### Prerequisites
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First clone LocalAI:
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```bash
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI
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```
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Setup the model you prefer from the examples below and then start LocalAI:
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```bash
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docker compose up -d --pull always
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```
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If LocalAI is already started, you can restart it with
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```bash
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docker compose restart
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```
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See also the getting started: https://localai.io/basics/getting_started/
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You can also start LocalAI just with docker:
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```
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docker run -p 8080:8080 -v $PWD/models:/models -ti --rm quay.io/go-skynet/local-ai:master --models-path /models --threads 4
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```
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### Mistral
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To setup mistral copy the files inside `mistral` in the `models` folder:
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```bash
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cp -r examples/configurations/mistral/* models/
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```
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Now download the model:
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```bash
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wget https://huggingface.co/TheBloke/Mistral-7B-OpenOrca-GGUF/resolve/main/mistral-7b-openorca.Q6_K.gguf -O models/mistral-7b-openorca.Q6_K.gguf
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```
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### LLaVA
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#### Setup
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```
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cp -r examples/configurations/llava/* models/
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wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/ggml-model-q4_k.gguf -O models/ggml-model-q4_k.gguf
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wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/mmproj-model-f16.gguf -O models/mmproj-model-f16.gguf
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```
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#### Try it out
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```
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curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
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"model": "llava",
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"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}]}'
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```
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### Phi-2
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```
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cp -r examples/configurations/phi-2.yaml models/
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curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
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"model": "phi-2",
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"messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
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}'
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```
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### Mixtral
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```
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cp -r examples/configuration/mixtral/* models/
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wget https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q2_K.gguf -O models/mixtral-8x7b-instruct-v0.1.Q2_K.gguf
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```
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#### Test it out
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```
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curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
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"model": "mixtral",
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"prompt": "How fast is light?",
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"temperature": 0.1 }'
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```
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