Instructions to use mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_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_45.bin from mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 47.3 MB
-
https://huggingface.co/mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_1-MLC/resolve/main/params_shard_45.bin
- Command line
-
hf download hf://mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_1-MLC/params_shard_45.bin
-
curl -L -o params_shard_45.bin https://huggingface.co/mlc-ai/NeuralHermes-2.5-Mistral-7B-q3f16_1-MLC/resolve/main/params_shard_45.bin
47.3 MB
- Xet hash:
- a81d7d68e3a2f0fd2ab055da49edbadc6e7e995af856e8313f9e5664888fb08d
- Size of remote file:
- 47.3 MB
- SHA256:
- 10d5719aab35198ef5e3cf2fc3d1d72249d505f1218b42ada4f03e20ce174f7e
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