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:
- 5784098229671a369b33aa26841a6f11be73cec9efe7ceb50f49925f6f32f89b
- Size of remote file:
- 13.6 MB
- SHA256:
- 901e1ca0d1a7327f762abc9bb03519c04205e8ba77e9d32242c679d09a7543a8
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