| # aimflow (v1) — evaluation | |
| QwenPI + hybrid flow-aim head. Weight: `steps_5000.pt`. ⚠️ v1's eval aim-cosine is a normalization | |
| artifact (see ../README.md), so expect unreliable live aim. Needs Qwen3-VL for the model server. | |
| Full guide: [../EVALUATION.md](../EVALUATION.md). | |
| Run (from inside this folder; game server + client already up): | |
| ```bash | |
| mkdir -p run/checkpoints && cp config.yaml dataset_statistics.json run/ && cp steps_5000.pt run/checkpoints/ | |
| python -m gamevla.envs.eval.run_eval \ | |
| --env cs2/5e_mirage_prefire/connector_to_a_site --endpoint <host:port> \ | |
| --policy examples.CS2.aimflow.evaluation.policy:build_policy \ | |
| --policy-kwargs '{"ckpt":"run/checkpoints/steps_5000.pt","port":10093,"sensitivity":1.0}' \ | |
| --episodes 3 --bot-count 5 | |
| ``` | |
| Defaults (policy.py): `steps_per_bin=1`, `history_len=2`. Mouse auto-derived from `sensitivity`. | |