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 adapter_model.safetensors from ZengXiangyu/Qwen3-8b-HiCI-48k-500steps: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/adapter_model.safetensors
28.4 MB
- Xet hash:
- 0e5addcd8b8839e68c90cc7368619a0dcfe103dcb8b26399928c30061c1aa273
- Size of remote file:
- 28.4 MB
- SHA256:
- 9ca11f5ef159104b0eee15a447c58c895dc7e65439c1cc1d5534fbf5aeb2420d
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