22dad1df73
The start route's precision preflight folded bf16/int8/fp8 into the CUDA requirement but omitted mxfp8, so an mxfp8 request on a GPU-less host (or an older CUDA GPU without Blackwell) passed the preflight, evicted resident image and chat models, then raised only in the spawned trainer child. Mirror _resolve_base_precision: require CUDA for mxfp8 and re-check the Blackwell (sm100+) capability up front, so a doomed run is rejected before teardown. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| hub | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| cloudflare_tunnel.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||