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:
- 50f14c69be75709aa5e91c5c45e934fece277af0b95e1288ff44b44913bdf979
- Size of remote file:
- 14.2 kB
- SHA256:
- 719bba7679ec0cea6ea438f827f2643ddd32f611af962726eee3340a183532ff
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