Instructions to use tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods: direct link, hf CLI and curl.
- Browser
- Download file 175 MB
-
https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-SpectralSurgery-HNS4p1-AllMods/resolve/main/adapter_model.safetensors
175 MB
- Xet hash:
- 3aa829cc93dbc47a2028ed18a4ac83d087f10fa12cfda0ab673e1f1ed81fe9ad
- Size of remote file:
- 175 MB
- SHA256:
- 31450ef6451bea57d339140343eeea9055a9e4e084611af1c3060516b7753ef9
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