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 trainable_params.bin from ZengXiangyu/Llama-2-13b-hici-16k-none: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/ZengXiangyu/Llama-2-13b-hici-16k-none/resolve/main/trainable_params.bin
- Command line
-
hf download hf://ZengXiangyu/Llama-2-13b-hici-16k-none/trainable_params.bin
-
curl -L -o trainable_params.bin https://huggingface.co/ZengXiangyu/Llama-2-13b-hici-16k-none/resolve/main/trainable_params.bin
3.13 GB
- Xet hash:
- cb5ae55fb12fb24d19c8a8a8338161f62726480ddad9c8bf6794bb78a11dc799
- Size of remote file:
- 3.13 GB
- SHA256:
- afea1bdd0e74c658b0faf379c3fb08e1511dce11e52226fddd22d28a3f0dd971
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