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 pytorch_model.bin from fwtan/llama-1.1b-converted: direct link, hf CLI and curl.
- Browser
- Download file 4.4 GB
-
https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fwtan/llama-1.1b-converted/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fwtan/llama-1.1b-converted/resolve/main/pytorch_model.bin
4.4 GB
- Xet hash:
- e1edf1d5cc009f286b821ca847b569685e25e40085acc29c23708ac6d5471ef3
- Size of remote file:
- 4.4 GB
- SHA256:
- 2234f51329e9f3d733a0b6e660eb56146ed713a1f6df17c41fd25347e6aa3163
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