Instructions to use mlx-community/CodeLlama-7b-Python-hf-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-hf-4bit 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-7b-Python-hf-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/CodeLlama-7b-Python-hf-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/CodeLlama-7b-Python-hf-4bit" --prompt "Once upon a time"
| language: | |
| - code | |
| license: llama2 | |
| tags: | |
| - llama-2 | |
| - mlx | |
| pipeline_tag: text-generation | |
| # CodeLlama-7b-Python-hf-4bit | |
| This model was converted to MLX format from [`codellama/CodeLlama-7b-Python-hf`](). | |
| Please, refer to the [original model card](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) for more details on the original model. | |
| ## Use with mlx | |
| ```bash | |
| 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 --prompt "My name is" | |
| ``` | |