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/110 from HeroMask/Meddi: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
-
https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/110
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/110
-
curl -L -o 110 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/110
3.67 MB
- Xet hash:
- cb13db7730e8ffb292623a92873f7407bfaafb9c6ccc52cb9458e63eea7bcd69
- Size of remote file:
- 3.67 MB
- SHA256:
- 7f2f097c15531a592295367efdc731dba34cdde45a6c95fef249e7af3e735474
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