Instructions to use mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_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 params_shard_1.bin from mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 29.4 MB
-
https://huggingface.co/mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_1-MLC/resolve/main/params_shard_1.bin
- Command line
-
hf download hf://mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_1-MLC/params_shard_1.bin
-
curl -L -o params_shard_1.bin https://huggingface.co/mlc-ai/Hermes-2-Theta-Llama-3-8B-q4f32_1-MLC/resolve/main/params_shard_1.bin
29.4 MB
- Xet hash:
- 28ff1d7e77c0f0725e393c1ffb5086c7c4406b18909df3b10108935e74b98b7e
- Size of remote file:
- 29.4 MB
- SHA256:
- 0d94de57269ff2149e40ada0e86fc4fba5da29f81fc949aa239ecbe45e21ef79
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