| 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 |
<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>
]]>