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 tokenizer.json from ZengXiangyu/Qwen3-8b-HiCI-48k-500steps: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/tokenizer.json
- Command line
-
hf download hf://ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ZengXiangyu/Qwen3-8b-HiCI-48k-500steps/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- d5e05a970ea595c5502ad69620327fad9cbc30923f5e29491e40ae7cb9aae6df
- Size of remote file:
- 11.4 MB
- SHA256:
- 5b5a267a88fde5ce01c323c080a8be57b1503146026ab80545773d370dd05375
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