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:
- 0bab9308e73aeab58fa661ea6420f7e28c53f54f68628c6ac103f63a393857e4
- Size of remote file:
- 175 MB
- SHA256:
- 0481180e5de55e43f5d1f3581965c3743c282ef87201b64248203d05c401fce8
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