Instructions to use AtAndDev/UVOX-40k-Llama-32-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AtAndDev/UVOX-40k-Llama-32-3B-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AtAndDev/UVOX-40k-Llama-32-3B-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from AtAndDev/UVOX-40k-Llama-32-3B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 198 MB
-
https://huggingface.co/AtAndDev/UVOX-40k-Llama-32-3B-Instruct/resolve/main/optimizer.pt
- Command line
-
hf download hf://AtAndDev/UVOX-40k-Llama-32-3B-Instruct/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AtAndDev/UVOX-40k-Llama-32-3B-Instruct/resolve/main/optimizer.pt
198 MB
- Xet hash:
- 0a14e51cbceb5324c057d2692d109cb9a2a2f5be1e1f1a4479982bb93702ccf7
- Size of remote file:
- 198 MB
- SHA256:
- ce93c7023944afcd6f8563b5fd95533327ed6dc15baa0117f8f8fb22764e8645
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