Instructions to use mlx-community/CodeLlama-7b-Python-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-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-7b-Python-mlx") prompt = "Once upon a time in" 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-7b-Python-mlx 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-mlx" --prompt "Once upon a time"
- Atomic Chat
Download CodeLlama-7b-Python.npz from mlx-community/CodeLlama-7b-Python-mlx: direct link, hf CLI and curl.
- Browser
- Download file 13.5 GB
-
https://huggingface.co/mlx-community/CodeLlama-7b-Python-mlx/resolve/bbb1ac003d4942a545ddd7d2644c5a9463dffd38/CodeLlama-7b-Python.npz
- Command line
-
hf download hf://mlx-community/CodeLlama-7b-Python-mlx@bbb1ac003d4942a545ddd7d2644c5a9463dffd38/CodeLlama-7b-Python.npz
-
curl -L -o CodeLlama-7b-Python.npz https://huggingface.co/mlx-community/CodeLlama-7b-Python-mlx/resolve/bbb1ac003d4942a545ddd7d2644c5a9463dffd38/CodeLlama-7b-Python.npz
13.5 GB
- Xet hash:
- 9063cc0e1c1983d125f052350dceb4913e6f66a5c7a8d9ec82177c1c306c99f4
- Size of remote file:
- 13.5 GB
- SHA256:
- 936ea09ef86a484954c0f2dc1447ec89d446c5097a4c65986f7432611e1c701d
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