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:
- 31cbd25006e2b1d5b1c4af06ea88561771be2f0aebae719c62049a08ad338545
- Size of remote file:
- 15.9 kB
- SHA256:
- c5ee680c839525faef284079dbb59b977c3a337312093276c61094d1e4002744
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