964 kB

Ctrl+K

1 contributor

One arithmetic on every device: mixed CPU+GPU optimizer, replica hash check, FTZ pin, subnormal gate, live f32 audit, probe/fragment fixes (2026-10-14)

63780b7 verified 5 days ago

dashboard
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 23 days ago
verified
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 23 days ago
__init__.py

595 Bytes
Old-hardware training through emulated GPU logic 3 months ago
cluster.py

15.5 kB
One arithmetic on every device: mixed CPU+GPU optimizer, replica hash check, FTZ pin, subnormal gate, live f32 audit, probe/fragment fixes (2026-10-14) 5 days ago
example_task.py

920 Bytes
Old-hardware training through emulated GPU logic 3 months ago
spikewhale_panel.py

11.3 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 23 days ago
spikewhale_task.py

5.88 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 23 days ago
task.py

1.26 kB
Old-hardware training through emulated GPU logic 3 months ago
train.py

3.28 kB
Old-hardware training through emulated GPU logic 3 months ago
verified_task.py

1.34 kB
Old-hardware training through emulated GPU logic 3 months ago