Instructions to use Rimyy/LLAmaFineTuneMath16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rimyy/LLAmaFineTuneMath16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Rimyy/LLAmaFineTuneMath16") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Rimyy/LLAmaFineTuneMath16: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/Rimyy/LLAmaFineTuneMath16/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Rimyy/LLAmaFineTuneMath16/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Rimyy/LLAmaFineTuneMath16/resolve/main/adapter_model.bin
134 MB
- Xet hash:
- 9f48a2a40d88c0567cf81a20fe884721580ca07e0c3cbf8cc8b2a588a7b2f6e2
- Size of remote file:
- 134 MB
- SHA256:
- 133b15291063ab6b4d9062a1ca6defb751db388bf3911b8be543b732e88c19e8
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