Instructions to use diffusion-reasoning/wll_SFT_NP_math-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diffusion-reasoning/wll_SFT_NP_math-1000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Instruct") model = PeftModel.from_pretrained(base_model, "diffusion-reasoning/wll_SFT_NP_math-1000") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from diffusion-reasoning/wll_SFT_NP_math-1000: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/diffusion-reasoning/wll_SFT_NP_math-1000/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://diffusion-reasoning/wll_SFT_NP_math-1000/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/diffusion-reasoning/wll_SFT_NP_math-1000/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 047cb0ef66d7781e09f300b9dc7e52d8802aabdd03128ce43658c8621356c772
- Size of remote file:
- 336 MB
- SHA256:
- 75c420285cf388e7d079957dc69d58b76fff982c5ae37903a84bbc687ad738e1
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