Text Generation
PEFT
PyTorch
Safetensors
mistral
Generated from Trainer
conversational
4-bit precision
bitsandbytes
Instructions to use HeroMask/Meddi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HeroMask/Meddi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "HeroMask/Meddi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d56e50d5230fad94fa33448a9d6c5efcf4c5eca8c2f88d4f6fe23760b8b0519
- Size of remote file:
- 1.05 MB
- SHA256:
- 1530a8091101db44428f5f299ac1356b9cd58f90335f5c82b652eb9b91ba24cb
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