Instructions to use CharlZKP/LFM3-1.7B-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use CharlZKP/LFM3-1.7B-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 libs/LFM3-1.7B-q6f16_a_cs1k-webgpu.wasm from CharlZKP/LFM3-1.7B-MLC: direct link, hf CLI and curl.
- Browser
- Download file 7.74 MB
-
https://huggingface.co/CharlZKP/LFM3-1.7B-MLC/resolve/main/libs/LFM3-1.7B-q6f16_a_cs1k-webgpu.wasm
- Command line
-
hf download hf://CharlZKP/LFM3-1.7B-MLC/libs/LFM3-1.7B-q6f16_a_cs1k-webgpu.wasm
-
curl -L -o LFM3-1.7B-q6f16_a_cs1k-webgpu.wasm https://huggingface.co/CharlZKP/LFM3-1.7B-MLC/resolve/main/libs/LFM3-1.7B-q6f16_a_cs1k-webgpu.wasm
7.74 MB
- Xet hash:
- 88a07baf8687142e966d9544501a9efe789e044f2b1c2944e16642e01a5e1496
- Size of remote file:
- 7.74 MB
- SHA256:
- 94fc1d3164c4a111a876145183dba8c965f618a5ffcad4a304e019e8e7e7b450
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