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:
- 2f884ea0ceb3dd8547da06af40fa0a358dc743842df0f5d9e6e3a9e894da7d80
- Size of remote file:
- 5.84 kB
- SHA256:
- 18f33b6c376ca01557b206b42193cefcf10bb4353aa8ba99254850acfe6eb0b8
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