Instructions to use mlc-ai/NeuralHermes-2.5-Mistral-7B-q4f16_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-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 params_shard_101.bin from mlc-ai/NeuralHermes-2.5-Mistral-7B-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 29.4 MB
-
https://huggingface.co/mlc-ai/NeuralHermes-2.5-Mistral-7B-q4f16_1-MLC/resolve/a10f84d2ecd33c05a4e4910bfa2fd64111c38ba0/params_shard_101.bin
- Command line
-
hf download hf://mlc-ai/NeuralHermes-2.5-Mistral-7B-q4f16_1-MLC@a10f84d2ecd33c05a4e4910bfa2fd64111c38ba0/params_shard_101.bin
-
curl -L -o params_shard_101.bin https://huggingface.co/mlc-ai/NeuralHermes-2.5-Mistral-7B-q4f16_1-MLC/resolve/a10f84d2ecd33c05a4e4910bfa2fd64111c38ba0/params_shard_101.bin
29.4 MB
- Xet hash:
- 89c1292bb3b5e4e71b032f5693a29d55fe2e4d2aa181bd28453b9e03bc8821c3
- Size of remote file:
- 29.4 MB
- SHA256:
- 7e73858c6e8ea97da2ebd605dbec2bef527e243e7693765f92ef336c97273700
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.