Instructions to use GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx --local-dir Llama-2-13B-layer-mix-bpw-2.5-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx/resolve/main/tokenizer.model
- Command line
-
hf download hf://GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/GreenBitAI/Llama-2-13B-layer-mix-bpw-2.5-mlx/resolve/main/tokenizer.model
500 kB
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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