Instructions to use mradermacher/cogito-v2-preview-deepseek-671B-MoE-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/cogito-v2-preview-deepseek-671B-MoE-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/cogito-v2-preview-deepseek-671B-MoE-i1-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
cogito-v2-preview-deepseek-671B-MoE-i1-GGUF / cogito-v2-preview-deepseek-671B-MoE.i1-IQ1_M.gguf.part2of4
- Xet hash:
- e0ad77bd9ccaa6c3e03c471ae46ffe611b2bd439f6f9b7a112a41c7b973d962f
- Size of remote file:
- 37.6 GB
- SHA256:
- a996e5b76be1ecc77a176a89613dbc609419375fde4d2bfc3d1962f4bde7f6b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.