Transformers
PEFT
English
Chinese
long-context modeling
hierarchical-attention
segmented-attention
qwen3
lora
hici
Instructions to use ZengXiangyu/Llama-2-13b-hici-16k-none with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZengXiangyu/Llama-2-13b-hici-16k-none with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZengXiangyu/Llama-2-13b-hici-16k-none", device_map="auto") - PEFT
How to use ZengXiangyu/Llama-2-13b-hici-16k-none with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ZengXiangyu/Llama-2-13b-hici-16k-none: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/ZengXiangyu/Llama-2-13b-hici-16k-none/resolve/main/tokenizer.json
- Command line
-
hf download hf://ZengXiangyu/Llama-2-13b-hici-16k-none/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ZengXiangyu/Llama-2-13b-hici-16k-none/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.