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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