Instructions to use jason-schulz/Yi-Coder-9B-Chat-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jason-schulz/Yi-Coder-9B-Chat-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download jason-schulz/Yi-Coder-9B-Chat-oQ8 --local-dir Yi-Coder-9B-Chat-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from jason-schulz/Yi-Coder-9B-Chat-oQ8: direct link, hf CLI and curl.
- Browser
- Download file 1.03 MB
-
https://huggingface.co/jason-schulz/Yi-Coder-9B-Chat-oQ8/resolve/main/tokenizer.model
- Command line
-
hf download hf://jason-schulz/Yi-Coder-9B-Chat-oQ8/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/jason-schulz/Yi-Coder-9B-Chat-oQ8/resolve/main/tokenizer.model
1.03 MB
- Xet hash:
- ef8b7fac517c782297a8a01d7ea8f675b298ad2278ece8fd08487aa7a37d74aa
- Size of remote file:
- 1.03 MB
- SHA256:
- 386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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