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/105 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/105
- Command line
-
hf download hf://HeroMask/Meddi/adapter_model/data/105
-
curl -L -o 105 https://huggingface.co/HeroMask/Meddi/resolve/main/adapter_model/data/105
1.05 MB
- Xet hash:
- 9617387bad515f995d084e0347fd38a718a86ff0726f3b4598f34ab3c1163d0c
- Size of remote file:
- 1.05 MB
- SHA256:
- 6e39233da79fc1ea4fd6ccdb5c2567b9773350ea20657a1e9f7b48c2a56f3a58
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