Text Generation
PEFT
Safetensors
qwen
lora
spanish
andaluh
andalusian
experimental
persona
conversational
Instructions to use MariChatmen/MariChatmen-4B-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MariChatmen/MariChatmen-4B-Experimental with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "MariChatmen/MariChatmen-4B-Experimental") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0923005f45b36b29f6984554ea73837703027ec05b497dbb8632aa8de0c6eb08
- Size of remote file:
- 20.3 MB
- SHA256:
- df2c43f2febaed5d06aa3e37c16c538ca4d814af2eb1d78cedf7246ef20ef0a0
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