Text Generation
PEFT
Safetensors
English
process-reward-model
prm
retrieval-augmented-generation
lora
conversational
Instructions to use MinKeonKim/PRO-STEP-PRM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MinKeonKim/PRO-STEP-PRM-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-0528-Qwen3-8B") model = PeftModel.from_pretrained(base_model, "MinKeonKim/PRO-STEP-PRM-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd8c096796fc11221621c66927191056a56120fa377eddfd23d2c915975bf562
- Size of remote file:
- 6.29 kB
- SHA256:
- 32e75c54d8335bef1a5012a1b900a0e23a0934f8f1bdb07aad1a97dc0f0e69c0
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