Aegis - Browser QA Vision Agent

Fine-tuned from Qwen2.5-VL-3B-Instruct using 10-phase progressive LoRA training on a 20k browser screenshot + DOM dataset.

Model details

Field Value
Base model Qwen2.5-VL-3B-Instruct
Training phases 10 (progressive curriculum)
Final loss 0.0536
LoRA rank r=16, alpha=16
Max seq length 8192
Merged Yes - no adapter needed

Quick start

from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
import torch

model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
    "sanaX3065/aegis-qwen2vl-3b",
    torch_dtype=torch.float16,
    device_map="auto",
)
processor = AutoProcessor.from_pretrained("sanaX3065/aegis-qwen2vl-3b")
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