Instructions to use mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-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 params_shard_17.bin from mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-MLC: direct link, hf CLI and curl.
- Browser
- Download file 25.7 MB
-
https://huggingface.co/mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-MLC/resolve/main/params_shard_17.bin
- Command line
-
hf download hf://mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-MLC/params_shard_17.bin
-
curl -L -o params_shard_17.bin https://huggingface.co/mlc-ai/DeepSeek-R1-Distill-Qwen-7B-q0f16-MLC/resolve/main/params_shard_17.bin
25.7 MB
- Xet hash:
- 89601dbc34a84a227ad1faddafeafe15dec31d984e54d867004a38993339321a
- Size of remote file:
- 25.7 MB
- SHA256:
- 800ce38579298cd983bbc8fae70b0af40b2807acc60794309845ecc2443e0428
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