Instructions to use mlx-community/RakutenAI-2.0-8x7B-instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/RakutenAI-2.0-8x7B-instruct-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/RakutenAI-2.0-8x7B-instruct-4bit --local-dir RakutenAI-2.0-8x7B-instruct-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from mlx-community/RakutenAI-2.0-8x7B-instruct-4bit: direct link, hf CLI and curl.
- Browser
- Download file 755 kB
-
https://huggingface.co/mlx-community/RakutenAI-2.0-8x7B-instruct-4bit/resolve/main/tokenizer.model
- Command line
-
hf download hf://mlx-community/RakutenAI-2.0-8x7B-instruct-4bit/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/mlx-community/RakutenAI-2.0-8x7B-instruct-4bit/resolve/main/tokenizer.model
755 kB
- Xet hash:
- e6943afbbc498d04d41f30bb5de36fb2d1236c9eccffcb2e9e04dace0c3735f1
- Size of remote file:
- 755 kB
- SHA256:
- 7978987401ef447724ded0544d048831954b7517a96555ce1593149e3678b6dc
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