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:
- 58912e130eb4d5563feaf419010c82384c1cba8627c0b45244f3da6c5266a7e3
- Size of remote file:
- 839 MB
- SHA256:
- 6a11c8aed19da5d66c2267c4d377139618c9718dfefb56b228953ddb53ee59dc
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