Instructions to use TheBlueObserver/Meta-Llama-3-8B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TheBlueObserver/Meta-Llama-3-8B-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("TheBlueObserver/Meta-Llama-3-8B-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 TheBlueObserver/Meta-Llama-3-8B-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 "TheBlueObserver/Meta-Llama-3-8B-MLX" --prompt "Once upon a time"
- Atomic Chat
Commit History
-
Upload folder using huggingface_hub (#1)
Verified signature- 5fd8daf098d1e4d12838d132b7672a03126048029903977d5e102630bb1fd669 (974340eb351f192e6d1ca5f725e68340cb0ede00) - f2c11b8a4321faa5b5c43df4614ffd6f3cf64b4d3b2c61be9a30be21a888fa3f (5bc2d17ab3de0c0d315d1c7aa48a3ba84e07037d) - 1373b8a0457e2b083d51af6c4c43c59937eb238d818110a7f764e317976568df (88b4a11418d45da9a3eccc352592407f9099ebdc) - 7fc93e7ea15144a23b69e877bf011a96e2d5e502a209269e1d0ac20d30553792 (bbfc96ec0b931cc3bb7bbf2429f1c722dfe63828)ffd3999