Instructions to use fwtan/llama-1.1b-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwtan/llama-1.1b-converted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwtan/llama-1.1b-converted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download default_qcfg_bak.json from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 158 kB
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/default_qcfg_bak.json
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/default_qcfg_bak.json
-
curl -L -o default_qcfg_bak.json https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/default_qcfg_bak.json
158 kB
- Xet hash:
- 00dce1ed2d59ca8b7e7ac3b16eaf75b01b1119b982e9097a4e1dd8a82a669307
- Size of remote file:
- 158 kB
- SHA256:
- 19ee2e1239547fb4476c69c1354445b8bf51796e501db5c7ba1ca885fffeff68
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