Advanced configuration

This section contains examples on how to install models manually with config files.

Prerequisites

First clone LocalAI:

git clone https://github.com/go-skynet/LocalAI

cd LocalAI

Setup the model you prefer from the examples below and then start LocalAI:

docker compose up -d --pull always

If LocalAI is already started, you can restart it with

docker compose restart

See also the getting started: https://localai.io/basics/getting_started/

You can also start LocalAI just with docker:

docker run -p 8080:8080 -v $PWD/models:/models -ti --rm quay.io/go-skynet/local-ai:master --models-path /models --threads 4

Mistral

To setup mistral copy the files inside mistral in the models folder:

cp -r examples/configurations/mistral/* models/

Now download the model:

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

LLaVA

Setup

cp -r examples/configurations/llava/* models/
wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/ggml-model-q4_k.gguf -O models/ggml-model-q4_k.gguf
wget https://huggingface.co/mys/ggml_bakllava-1/resolve/main/mmproj-model-f16.gguf -O models/mmproj-model-f16.gguf

Try it out

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}]}'

Phi-2

cp -r examples/configurations/phi-2.yaml models/

curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
     "model": "phi-2",
     "messages": [{"role": "user", "content": "How are you doing?", "temperature": 0.1}]
}'

Mixtral

cp -r examples/configuration/mixtral/* models/
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

Test it out

curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
     "model": "mixtral",
     "prompt": "How fast is light?",                                                                                    
     "temperature": 0.1 }'