Instructions to use JW17/Q25-3B-It-ICRM-8sample-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JW17/Q25-3B-It-ICRM-8sample-math with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JW17/Q25-3B-It-ICRM-8sample-math", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-150/generation_config.json from JW17/Q25-3B-It-ICRM-8sample-math: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/JW17/Q25-3B-It-ICRM-8sample-math/resolve/main/checkpoint-150/generation_config.json
- Command line
-
hf download hf://JW17/Q25-3B-It-ICRM-8sample-math/checkpoint-150/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/JW17/Q25-3B-It-ICRM-8sample-math/resolve/main/checkpoint-150/generation_config.json
243 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.7, | |
| "top_k": 20, | |
| "top_p": 0.8, | |
| "transformers_version": "4.55.2" | |
| } | |