Instructions to use ttttonyhe/locket-deepseek-math-7b-mmlu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ttttonyhe/locket-deepseek-math-7b-mmlu with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-rl") model = PeftModel.from_pretrained(base_model, "ttttonyhe/locket-deepseek-math-7b-mmlu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89558ac1277d5e2b5ed5d089a9edbb8432f4325101f2ec00a7dbbe8bf1ef7580
- Size of remote file:
- 484 MB
- SHA256:
- b3800795ad4aa80ee6d619185585b15479bb2da79cf6ef67c72742de4717a1fb
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