PEFT
Safetensors
English
Chinese
long-context
context-extension
hierarchical-attention
segmented-attention
qwen3
lora
hici
Instructions to use ZengXiangyu/Qwen3-8b-HiCI-48k-500steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZengXiangyu/Qwen3-8b-HiCI-48k-500steps with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./models/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "ZengXiangyu/Qwen3-8b-HiCI-48k-500steps") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from ZengXiangyu/Qwen3-8b-HiCI-48k-500steps: direct link, hf CLI and curl.
- Browser
- Download file 143 Bytes
-
https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/.gitattributes
- Command line
-
hf download hf://ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/.gitattributes
143 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |