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victoria-kp
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Model Details
Model Provider
victoria-kp
Model Tree
Qwen/Qwen2.5-VL-7B-Instruct
Input Modalities
Output Modalities
Supported Functionality
| Eval on | Goodbuy (sim) | Bestbuy (real) |
|---|---|---|
| This adapter | 25.0% | 0.6% |
python
from peft import PeftModelfrom transformers import Qwen2_5_VLForConditionalGenerationbase = Qwen2_5_VLForConditionalGeneration.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct")model = PeftModel.from_pretrained(base, "victoria-kp/qwen25vl-7b-simtoreal-grpo-goodbuy")
GRPO from the corresponding SFT adapter: 8 rollouts per task, 8 tasks per round, 10 rounds, binary matched-criterion reward from a deterministic page-state verifier, KL 0.03 to the frozen SFT adapter, clip 0.2, lr 5e-6, temperature 1.0. Trained on the Goodbuy split. This is the checkpoint with the best held-out success (round 9).