Instructions to use mlfoundations/dclm-7b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlfoundations/dclm-7b-it with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlfoundations/dclm-7b-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update tokenizer_config.json
Verified signature027e430
-
Added chat templating to tokenizer
Verified signatureda63c0d
-
Update config.json (#4)
Verified signature- Update config.json (16906fb23343bb3495c05515ae49ccac5f4b22d4) Co-authored-by: Sedrick Keh <sedrickkeh@users.noreply.huggingface.co>da69102
-
Update config.json (#3)
Verified signature- Update config.json (657f7d097e9960e1140c524588614dbd961464c0) Co-authored-by: Jean Mercat <jmercat@users.noreply.huggingface.co>d3f3987
-
Update README.md
Verified signatureb9d9870
-
Update README.md
Verified signature2392cf0 -
Update README.md
Verified signature4400840 -
Update README.md
Verified signature116027c
-
Upload 4 files
Verified signature65f99eb -
updating model files
Verified signatureb46c239 -
initial commit
Verified signature884a868