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iaalm / llama-api-server

A OpenAI API compatible REST server for llama.
MIT License
199 stars 12 forks source link
language-model llama llm openai openai-api privatization rest-api selfhost

readme

🎭🦙 llama-api-server

Code style: black Release PyPI version

This project is under active deployment. Breaking changes could be made any time.

Llama as a Service! This project try to build a REST-ful API server compatible to OpenAI API using open source backends like llama/llama2.

With this project, many common GPT tools/framework can compatible with your own model.

🚀Get started

Try it online!

Follow instruction in this collab notebook to play it online. Thanks anythingbutme for building it!

Prepare model

llama.cpp

If you you don't have quantized llama.cpp, you need to follow instruction to prepare model.

pyllama

If you you don't have quantize pyllama, you need to follow instruction to prepare model.

Install

Use following script to download package from PyPI and generates model config file config.yml and security token file tokens.txt.

pip install llama-api-server

# to run wth pyllama
pip install llama-api-server[pyllama]

cat > config.yml << EOF
models:
  completions:
    # completions and chat_completions use same model
    text-ada-002:
      type: llama_cpp
      params:
        path: /absolute/path/to/your/7B/ggml-model-q4_0.bin
    text-davinci-002:
      type: pyllama_quant
      params:
        path: /absolute/path/to/your/pyllama-7B4b.pt
    text-davinci-003:
      type: pyllama
      params:
        ckpt_dir: /absolute/path/to/your/7B/
        tokenizer_path: /absolute/path/to/your/tokenizer.model
      # keep to 1 instance to speed up loading of model
  embeddings:
    text-embedding-davinci-002:
      type: pyllama_quant
      params:
        path: /absolute/path/to/your/pyllama-7B4b.pt
      min_instance: 1
      max_instance: 1
      idle_timeout: 3600
    text-embedding-ada-002:
      type: llama_cpp
      params:
        path: /absolute/path/to/your/7B/ggml-model-q4_0.bin
EOF

echo "SOME_TOKEN" > tokens.txt

# start web server
python -m llama_api_server
# or visible across the network
python -m llama_api_server --host=0.0.0.0

Call with openai-python

export OPENAI_API_KEY=SOME_TOKEN
export OPENAI_API_BASE=http://127.0.0.1:5000/v1

openai api completions.create -e text-ada-002 -p "hello?"
# or using chat
openai api chat_completions.create -e text-ada-002 -g user "hello?"
# or calling embedding
curl -X POST http://127.0.0.1:5000/v1/embeddings -H 'Content-Type: application/json' -d '{"model":"text-embedding-ada-002", "input":"It is good."}'  -H "Authorization: Bearer SOME_TOKEN"

🛣️Roadmap

Tested with

Supported APIs

Supported backends

Others