Instructions to use openeurollm/OLMo-3-7B-Instruct-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openeurollm/OLMo-3-7B-Instruct-SFT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openeurollm/OLMo-3-7B-Instruct-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download step2000/generation_config.json from openeurollm/OLMo-3-7B-Instruct-SFT: direct link, hf CLI and curl.
- Browser
- Download file 140 Bytes
-
https://huggingface.co/openeurollm/OLMo-3-7B-Instruct-SFT/resolve/main/step2000/generation_config.json
- Command line
-
hf download hf://openeurollm/OLMo-3-7B-Instruct-SFT/step2000/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/openeurollm/OLMo-3-7B-Instruct-SFT/resolve/main/step2000/generation_config.json
140 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 100265, | |
| 100257 | |
| ], | |
| "pad_token": 100277, | |
| "transformers_version": "4.57.1" | |
| } | |