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:
- 1897065e97a59f39ae05515e4164a02d954b4ddc7da22e038250efbfbb167849
- Size of remote file:
- 2.67 GB
- SHA256:
- c1ee0374bab5fd0439114718f77f2c87673e4454fb409dd2f6677292aada7ecb
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