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/121 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/121
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/121
-
curl -L -o 121 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/121
3.67 MB
- Xet hash:
- a4c6a1d853e61a71a7d01f8444b42ded04d2764b1232d1dfb19ba615d6430289
- Size of remote file:
- 3.67 MB
- SHA256:
- 639a96986b34544cf99ceb5f321c496e2b60993e3af8cceac53d9efe0fd84790
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