You can deploy this model and start earning money today!

namhokaist/
appgen-qwen3-vl-8b-sft-appgen-R-expanded-policy-lr3p5e7

Name: appgen-qwen3-vl-8b-sft-appgen-R-expanded-policy-lr3p5e7
Availability: InStock

Qwen/Qwen3-VL-8B-Instruct

finetune

apache-2.0

endpoints_compatible

Views

No views yet

AppGen Qwen3 policy SFT — arm R

This public checkpoint was trained only on user-owned synthetic AppGen data. It contains no AMEX, GUIOwl, AndroidWorld, ScreenSpot, RefExp, MoTIF, VWB, or other evaluation-benchmark examples.

Initialization: Qwen/Qwen3-VL-8B-Instruct at 0c351dd01ed87e9c1b53cbc748cba10e6187ff3b
Rows: 22,560
Dataset SHA-256: c0eb0f5c6fae9099df5301397534be7706d39e1d661852eb7050a8371c5a7b00
Training type: full
Learning rate: 3.5e-07
Optimizer steps: 705
Vision encoder and aligner: frozen
Global batch size: 32
Prompt: strict one-action <think> + <tool_call> policy with ten-step semantic history

For evaluation, use the exact appgen_system_prompt.txt included in this repository, enable explicit thinking, and provide normalized integer coordinates in [0, 999].

namhokaist/appgen-qwen3-vl-8b-sft-appgen-R-expanded-policy-lr3p5e7

AppGen Qwen3 policy SFT — arm R

namhokaist/
appgen-qwen3-vl-8b-sft-appgen-R-expanded-policy-lr3p5e7