Instructions to use huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download ndarray-cache.json from huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC/resolve/main/ndarray-cache.json
- Command line
-
hf download hf://huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC/ndarray-cache.json
-
curl -L -o ndarray-cache.json https://huggingface.co/huggingkot/LLAMA-3_8B_Unaligned_BETA-q4f16_1-MLC/resolve/main/ndarray-cache.json
148 kB
- Xet hash:
- 232395bd7052d4b755643b29628d4a98e2d163ea8d45d801f17333aa3498f372
- Size of remote file:
- 148 kB
- SHA256:
- d6c8c38fcc01971ed89426fdb5279e350c252485a08786d77db2663e0fa01bc1
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