Instructions to use Changahou/Llama8B_mathinstruct_SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Changahou/Llama8B_mathinstruct_SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/chenjh2/disk_chenjh/models/models/Llama-3-8b-Instruct") model = PeftModel.from_pretrained(base_model, "Changahou/Llama8B_mathinstruct_SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99a0f57a36d76ac97eb66482319050ef08c3118d0e7380a1c97a74a8d786d50d
- Size of remote file:
- 27.4 MB
- SHA256:
- 33495b762fc4260105ba422b86150b2815c8667df5f44cea484b751a478c0b37
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