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
Download adapter_model/data/102 from HeroMask/Meddi: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
-
https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/102
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/102
-
curl -L -o 102 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/102
1.05 MB
- Xet hash:
- 5309acf6efb4cf796dbdd83e17929c671dbeb807a6cec62878abff2a28d1002e
- Size of remote file:
- 1.05 MB
- SHA256:
- 1015ce84885054db91ffe1ee8765d87b014cf238ae6b41e2e20702e0de2c93d1
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