Instructions to use mlx-community/Llama-2-7b-chat-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Llama-2-7b-chat-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/Llama-2-7b-chat-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/Llama-2-7b-chat-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/Llama-2-7b-chat-mlx" --prompt "Once upon a time"
- Atomic Chat
Download weights.npz from mlx-community/Llama-2-7b-chat-mlx: direct link, hf CLI and curl.
- Browser
- Download file 13.5 GB
-
https://huggingface.co/mlx-community/Llama-2-7b-chat-mlx/resolve/main/weights.npz
- Command line
-
hf download hf://mlx-community/Llama-2-7b-chat-mlx/weights.npz
-
curl -L -o weights.npz https://huggingface.co/mlx-community/Llama-2-7b-chat-mlx/resolve/main/weights.npz
13.5 GB
- Xet hash:
- 31d62758b53f24a255cf38ae73c2fbcdd88996e51507cbe23c5287b23d729226
- Size of remote file:
- 13.5 GB
- SHA256:
- 68122068194be1051286a36314577f8b1910e4d36c8f280f3852bff9609d90de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.