Instructions to use mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
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# mlx-community/CodeLlama-70b-Instruct-4bit
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This model was converted to MLX format from [`codellama/CodeLlama-70b-Instruct-hf`]().
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pipeline_tag: text-generation
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<img src="https://cdn.discordapp.com/attachments/1064373193982361601/1201677160008384594/DALLE_2024-01-30_00.53.15_-_Imagine_a_whimsical_hyper-detailed_illustration_suitable_for_a_childrens_book_featuring_a_cartoon_alpaca_sitting_comfortably_and_using_an_Apple_lap.png?ex=65cab011&is=65b83b11&hm=373057e35079d276954594d43ea8e9e8223bd4956707a96c130a62850c8570b1&" width="50%" height="50%">
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# mlx-community/CodeLlama-70b-Instruct-4bit
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This model was converted to MLX format from [`codellama/CodeLlama-70b-Instruct-hf`]().
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