feat: clean deterministic OOM tasks on startup

README.md

@@ -52,6 +52,9 @@ Optional tuning:
 - `MODELSCOPE_PAGE_INTERVAL_SECONDS` default `0.25`
 - `MODELSCOPE_PAGE_CACHE_TTL_SECONDS` default `900`
 - `MODELHUB_AGENT_VERIFY_CACHE_TTL_SECONDS` default `900`
+- `MODELHUB_QUEUE_CLEANUP_INTERVAL_CYCLES` default `120`; cleanup also runs once at startup
+- `MODELHUB_QUEUE_CLEANUP_READ_CONCURRENCY` default `6`
+- `MODELHUB_QUEUE_CLEANUP_REPORT_PATH` default `.modelhub_state/queue_cleanup_latest.json`
 
 ## Adaptive GPU Strategy
 
@@ -119,6 +122,19 @@ capacities with
 `MODELHUB_GPU_MEMORY_GIB_JSON`, for example
 `{"New_gpu": 64}`.
 
+At poller startup, the same deterministic memory gate is applied to existing
+`waiting` and `running` tasks across every configured account. A task is stopped
+through `PUT /api/async/task/stop-create-contest-task` only when its own current
+recursive repository size, multiplied by ModelHub's observed `1.20` overhead,
+exceeds the known capacity of its selected GPU. The task ID is fetched and
+stopped with the token belonging to that account, and its active state is
+rechecked immediately before the mutation. Missing file sizes, unknown GPU
+capacities, listing failures, and tasks that have already changed state all fail
+closed and are never stopped. This does not match against another task from the
+same model or infer failure from historical similarity. The cleanup repeats
+every 120 poll cycles by default and writes its full evidence report to
+`.modelhub_state/queue_cleanup_latest.json`.
+
 The verified capacities, safe repository-size boundaries, evidence hierarchy,
 and source links are recorded in
 `docs/gpu-memory-capacity-2026-08-10.md`.
@@ -207,6 +223,9 @@ GPU, recursive repository-size checks, deterministic failure-aware preflight,
 and rate-limited lazy Qwen review for unresolved semantic cases.
 Version `2026.08.10.3` selects `qwen3.7-flash` by default and recognizes the
 repository root `.env` key named `dashscope` without logging its value.
+Version `2026.08.11.1` adds account-owned cancellation of queued tasks that are
+deterministically over the selected GPU's ModelHub memory boundary, with a
+second active-state check and fail-closed handling for incomplete evidence.
 
 ## Deploy