Instructions to use windgrin/q1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/q1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "windgrin/q1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a1baef8eacd7f7f119d82cba6f2e8eec7790b8570ec3447707f7bcac0b4ed7
- Size of remote file:
- 5.62 kB
- SHA256:
- 6eec89951998e1656ae02b57144ee08e00a691615efbbb3181cf706d7911511d
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