How to use mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True)
How to use mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX" --prompt "Once upon a time"
https://huggingface.co/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX/resolve/bbf9c85fff91543d0f3b35c562b5e6d5ccc76841/tokenizer.json
hf download hf://mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX@bbf9c85fff91543d0f3b35c562b5e6d5ccc76841/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mlx-community/CodeLlama-13b-Instruct-hf-4bit-MLX/resolve/bbf9c85fff91543d0f3b35c562b5e6d5ccc76841/tokenizer.json
