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:
- 6e990ac18e5facc6591441a6ed002bcbbde5d874cd5df2b401ea4364eb8a1c4a
- Size of remote file:
- 1.06 kB
- SHA256:
- a112c0d4c69922e8a1641b540ba71542301ce18ff0ebfccf79dcdeb781da9874
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