Instructions to use FINGU-AI/QWEN2.5-32B-e1-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINGU-AI/QWEN2.5-32B-e1-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-32b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "FINGU-AI/QWEN2.5-32B-e1-adapter") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from FINGU-AI/QWEN2.5-32B-e1-adapter: direct link, hf CLI and curl.
- Browser
- Download file 14.8 GB
-
https://huggingface.co/FINGU-AI/QWEN2.5-32B-e1-adapter/resolve/main/optimizer.pt
- Command line
-
hf download hf://FINGU-AI/QWEN2.5-32B-e1-adapter/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/FINGU-AI/QWEN2.5-32B-e1-adapter/resolve/main/optimizer.pt
14.8 GB
- Xet hash:
- bd918f2d65f6885f9d29b7990cb84c9e8c05d31d3595eb5fcdbaef0e00d709ae
- Size of remote file:
- 14.8 GB
- SHA256:
- 8cbf3a53f9f46395d21e777aa425cba444e552c257119ec5a7fbaf2a83e2286e
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