Instructions to use chloeli/qwen-2.5-32b-rules-spec-aft-cot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chloeli/qwen-2.5-32b-rules-spec-aft-cot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "chloeli/qwen-2.5-32b-rules-spec-aft-cot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7194df566921c7909fa912af7bbd097c0f514603404f68c3ba0657a2dcac3238
- Size of remote file:
- 2.15 GB
- SHA256:
- c4768f762c70f97e725f6057a8e0c8bc613e1397aeee53a2e4faccf46cdd5555
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.