How to use from the
Use from the
MLX library
# 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-7b-Python-hf-4bit-mlx")

prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)

CodeLlama-7b-Python-hf-4bit-mlx

This model was converted to MLX format from codellama/CodeLlama-7b-Python-hf. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/CodeLlama-7b-Python-hf-4bit-mlx --prompt "My name is"
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