sarcasticcoder

qwen2.5-vl-7b-cord-lora

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README

License: apache-2.0

Result - CORD test[:40], same pipeline, 4-bit

Table
	Field EM	Field F1	Line-item F1
Zero-shot v3 prompt	0.869	0.834	0.934
This LoRA	0.865	0.830	0.957

Matches the already-strong prompt baseline on fields and lifts line-item F1 +0.02.

Usage

python
from peft import PeftModel
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
base = Qwen2_5_VLForConditionalGeneration.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", device_map="auto")
model = PeftModel.from_pretrained(base, "sarcasticcoder/qwen2.5-vl-7b-cord-lora")
proc = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct")