chitrapathak_marguj_mixed

One shared LoRA adapter for Marathi and Gujarati OCR on top of Chitrapathak-2.

What this is

• Base model: Chitrapathak-2
• Adapter type: PEFT LoRA (r=32, α=64)
• Languages: Marathi + Gujarati in a single adapter
• Not language routing and not stacked Marathi-v7 + guj_v1

Load

from peft import PeftModel
from transformers import AutoModelForImageTextToText, AutoProcessor

base = "YOUR_BASE_OR_LOCAL_CHITRAPATHAK2"
adapter = "snxtyle/chitrapathak_marguj_mixed"

model = AutoModelForImageTextToText.from_pretrained(base)
model = PeftModel.from_pretrained(model, adapter)
processor = AutoProcessor.from_pretrained(base)

Frozen-100 (vs original base)

Language	Exact match	CER	Script accuracy
Marathi	44/100 (base 26/100)	4.10% (base 5.56%)	95%
Gujarati	11/100 (base 0/100)	10.61% (base 82.73%)	100%

Source training checkpoint: bilingual reviewed MPS v2 step-414.