Instructions to use nvidia/OpenMath-Mistral-7B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/OpenMath-Mistral-7B-v0.1 with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
Download nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/24.0 from nvidia/OpenMath-Mistral-7B-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 8.19 kB
-
https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/24.0
- Command line
-
hf download hf://nvidia/OpenMath-Mistral-7B-v0.1/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/24.0
-
curl -L -o 24.0 https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1/resolve/main/nemo_model/model_weights/model.decoder.layers.mlp.linear_fc1.layer_norm_weight/24.0
8.19 kB
- Xet hash:
- 67a79043c526be0527cbe86ac4c9d41629347340d9914c4dd77a462b7bcd9e65
- Size of remote file:
- 8.19 kB
- SHA256:
- d3a8cf5f50d3c7efd0e1e9b48fe0d70606e05ba6ed05ce1fe7a44d34acdf7507
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