Job instance 271210

Name wu_179_g32296_0
Workunit 273659
Created 30 Jan 2026, 11:51:57 UTC
Sent 30 Jan 2026, 12:14:41 UTC
Report deadline 6 Feb 2026, 12:14:41 UTC
Received 30 Jan 2026, 14:17:03 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 51
Run time 49 sec
CPU time 2 sec
Priority 0
Validate state Valid
Credit 5.00
Device peak FLOPS 4.17 GFLOPS
Application version Axiom Federated AI v2.17
windows_x86_64
Peak working set size 7.09 MB
Peak swap size 2.09 MB
Peak disk usage 9.62 KB

Stderr output

<core_client_version>8.0.2</core_client_version>
<![CDATA[
<stderr_txt>
14:23:08 (7868): wrapper (7.7.26016): starting
14:23:08 (7868): wrapper: running ../../projects/axiom.heliex.net/axiom_worker_2.17_windows_x86_64.exe (wu.json result.json)
[CPU] Using NumPy
[Worker] Saved 5 gradient files to contribute folder (gradient sharing)
INFO: Downloading model: https://axiom.heliex.net/pyhelix/model/expert_179_v2.0.bin
ERROR: Failed to download model: [Errno 22] Invalid argument
[Worker] FATAL ERROR: MemoryError: Unable to allocate 2.25 MiB for an array with shape (768, 768) and data type float32
Traceback (most recent call last):
  File "worker_boinc_app.py", line 1678, in main
  File "worker_boinc_app.py", line 1182, in __init__
  File "simple_ml.py", line 1153, in __init__
    self.expert = SimpleTransformer(
                  ^^^^^^^^^^^^^^^^^^
  File "simple_ml.py", line 372, in __init__
    self._init_weights()
  File "simple_ml.py", line 401, in _init_weights
    'Wv': np.random.randn(d, d).astype(np.float32) * scale_proj,
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
numpy._core._exceptions._ArrayMemoryError: Unable to allocate 2.25 MiB for an array with shape (768, 768) and data type float32

14:23:54 (7868): axiom_worker_2.17_windows_x86_64.exe exited; CPU time 2.484375
14:23:54 (7868): called boinc_finish(0)

</stderr_txt>
]]>

Network Statistics
59
Contributors
11,974,320
Total Syncs
420
Experts
428,895,300
Credits
BOINC
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