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/1 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/1
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/1
-
curl -L -o 1 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/1
1.05 MB
- Xet hash:
- f4194cc1ebaac710826d225b0f765bbcf8867a6d8b419a083fe4e4ef1a090246
- Size of remote file:
- 1.05 MB
- SHA256:
- 4c470ee5883cb1ff46d5243018a03298a274705fe3c4a1e1905de92f77707e37
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