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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
cogito-v2-preview-deepseek-671B-MoE-i1-GGUF / cogito-v2-preview-deepseek-671B-MoE.i1-IQ3_XXS.gguf.part4of6
- Xet hash:
- 965158c22083059700826ea2d4805f66dd40867d83b4c9224c10ee032f270e49
- Size of remote file:
- 44 GB
- SHA256:
- 325c90ed44222a6f494fbbadb4b71b39212c6f528ce88c75cb3f4844c25ef650
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.