Instructions to use diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math/resolve/main/generation_config.json
- Command line
-
hf download hf://diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/diffusion-reasoning/LLaDA-8B-Instruct-MDPO-math/resolve/main/generation_config.json
121 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 126080, | |
| "eos_token_id": 126081, | |
| "transformers_version": "4.49.0" | |
| } | |