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/0 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/0
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/0
-
curl -L -o 0 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/0
1.05 MB
- Xet hash:
- 110e35e7d18c358308a37ebc51c6482981e87434ec3ebff9f9c99124c3401e39
- Size of remote file:
- 1.05 MB
- SHA256:
- 6a7df746ef25c0c9c759f3a49943a66497d2a0bba1ad8eb3e297e7d3306a5f5f
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