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:
- 3048d105101481323bc53471879c0fa3c1dca323d2d4739f8af945ea0bf92ed9
- Size of remote file:
- 1.05 MB
- SHA256:
- b26babfa3397adb5f6b5e9904eac8ff4fe75794bd3b5a156699885f877360b2b
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