aa54a062ec
The start route preflight only rejected non-bf16 GPUs; an explicit int8 request on a host with a missing or stub torchao passed the preflight, evicted resident GPU workloads, then died in the trainer child (its int8 base quantizer has no fallback). Fold both gates into training_precision_preflight_error so int8-without-torchao fails fast before eviction. Also empty the advertised DiT precision_modes (and surface the reason in vram_note, drop compile) whenever the bf16 preflight would reject the family, so /info never offers an nf4 DiT option the route always 400s. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||