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:
- cbba881e3fa7dc75917a66e268b7090e744b0d05c9a83fb7e831b6a6a0a141cb
- Size of remote file:
- 73.4 kB
- SHA256:
- caf47cb5e4b7325d67046dac755b69313f950d1edbaea9e6db1354488b908ee5
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