Entries
7
4 scored · 3 disqualified
Settled in
2h 17m
seated Sep 17, 12:46 UTC
Top score
0.5099
0 is baseline speed
Leader
Changed
won by 2411df5a…ce7995
7
| Role | Miner | Patch | Status | Score | Duration | Open |
|---|---|---|---|---|---|---|
| baseline | — | — | scored | 0 score breakdown | — | |
| leader |
| 6fa4154…c04fb |
| scored |
| 0.0404 score breakdown |
| — |
| challenger | 2d09465…99e48 | scored | 0.1219 score breakdown | — |
| challenger | 4c3fe52…98761 | disqualifiedengine died before becoming healthy (last error: [Errno 111] Connection refused); container log tail: m tokens) File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 1546, in capture one shape self.backend.capture one( File "/src/python/sglang/srt/model executor/runner backend/breakable cuda graph backend.py", line 123, in capture one warmup out = forward fn() ^^^^^^^^^^^^ File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 1530, in run once return self. run forward(forward batch, num tokens) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/utils/ contextlib.py", line 124, in decorate context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 756, in run forward return self.layer model.forward( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/utils/ contextlib.py", line 124, in decorate context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen3 5.py", line 1723, in forward hidden states, residual = layer( ^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen3 5.py", line 1457, in forward hidden states = self.mlp(hidden states) ^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen2 moe.py", line 254, in forward gate up, = self.gate up proj(x) ^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/layers/linear.py", line 505, in forward output parallel = self.quant method.apply(self, input , bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/layers/quantization/unquant.py", line 433, in apply return F.linear(x, layer.weight, bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 136.00 MiB. GPU 1 has a total capacity of 31.36 GiB of which 99.06 MiB is free. Including non-PyTorch memory, this process has 31.10 GiB memory in use. Of the allocated memory 28.19 GiB is allocated by PyTorch, with 959.50 MiB allocated in private pools (e.g., CUDA Graphs), and 354.27 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH CUDA ALLOC CONF=expandable segments:True to avoid fragmentation. See documentation for Memory Management (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf) [2026-09-17 14:05:37] Received sigquit from a child process. It usually means the child failed. [2026-09-17 14:05:37] kill process tree called: parent pid=1, include parent=True, pid=1 [2026-09-17 14:05:37] kill process tree called: parent pid=1, include parent=False, pid=1 | — score breakdown | — |
| challenger | 76cd598…2eaa3 | disqualifiedengine died before becoming healthy (last error: [Errno 111] Connection refused); container log tail: m tokens) File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 1546, in capture one shape self.backend.capture one( File "/src/python/sglang/srt/model executor/runner backend/breakable cuda graph backend.py", line 123, in capture one warmup out = forward fn() ^^^^^^^^^^^^ File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 1530, in run once return self. run forward(forward batch, num tokens) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/utils/ contextlib.py", line 124, in decorate context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/model executor/runner/prefill cuda graph runner.py", line 756, in run forward return self.layer model.forward( ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/utils/ contextlib.py", line 124, in decorate context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen3 5.py", line 1723, in forward hidden states, residual = layer( ^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen3 5.py", line 1457, in forward hidden states = self.mlp(hidden states) ^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/models/qwen2 moe.py", line 254, in forward gate up, = self.gate up proj(x) ^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1778, in wrapped call impl return self. call impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1789, in call impl return forward call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/layers/linear.py", line 505, in forward output parallel = self.quant method.apply(self, input , bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/src/python/sglang/srt/layers/quantization/unquant.py", line 433, in apply return F.linear(x, layer.weight, bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 136.00 MiB. GPU 3 has a total capacity of 31.36 GiB of which 97.06 MiB is free. Including non-PyTorch memory, this process has 31.11 GiB memory in use. Of the allocated memory 28.19 GiB is allocated by PyTorch, with 959.50 MiB allocated in private pools (e.g., CUDA Graphs), and 354.27 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH CUDA ALLOC CONF=expandable segments:True to avoid fragmentation. See documentation for Memory Management (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf) [2026-09-17 14:11:47] Received sigquit from a child process. It usually means the child failed. [2026-09-17 14:11:47] kill process tree called: parent pid=1, include parent=True, pid=1 [2026-09-17 14:11:47] kill process tree called: parent pid=1, include parent=False, pid=1 | — score breakdown | — |
| challenger | 2411df5…e7995 | scored | 0.5099 score breakdown | — |
| challenger | e38e5d5…8b0e4 | disqualifieddegenerate output (hf-024: answer: longest repeated span ratio 0.653 at or above harness ceiling over 2409 chars) | — score breakdown | — |
23/23 steps
Setup
4/4Waiting on a provider to hand over a machine.
Installing the harness and shipping the repo.
Fetching the baseline and candidate engine images.
Staging the campaign model onto the pod.
Baseline
2/2Loading weights and waiting for the server to answer.
Incumbent
2/2Loading weights and waiting for the server to answer.
Candidate 1 of 5
2/2Loading weights and waiting for the server to answer.
Candidate 2 of 5
2/2Loading weights and waiting for the server to answer.
Candidate 3 of 5
2/2Loading weights and waiting for the server to answer.
Candidate 4 of 5
2/2Loading weights and waiting for the server to answer.
Candidate 5 of 5
2/2Loading weights and waiting for the server to answer.
Scorer
2/2Loading weights and waiting for the server to answer.
Drift baseline
2/2Loading weights and waiting for the server to answer.
Teardown
1/1Destroying the pod and its volume.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
Full workload replay against the latency gates.
The pinned baseline image teacher-forces captured outputs against the campaign thresholds.
Full workload replay against the latency gates.