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
Run Example in Model card may want an update
#10
by porra9 - opened
Referring to the example in model card, I needed to put -model-path followed by directory of models. My downloaded models are in the mlx-examples/llms/llama so my command looks like this.
python llama.py --prompt "My name is " --model-path Llama-2-7b-chat-mlx/
Thank you.
yeah, that's right