55a81faeb0
The auto ladder still listed nvfp4 in the Blackwell tier even though the comment above it says nvfp4 must never be the auto pick for diffusion: at the DiT's real shapes it is slower (0.81x end-to-end on Z-Image 1024px) and less accurate (LPIPS 0.166 vs fp8's 0.044) than fp8. It was unreachable in practice (fp8 precedes it and the only fp8-denied families also deny nvfp4), but the entry contradicted the stated intent and left a latent path to the worse scheme. Drop nvfp4 from the ladder so Blackwell auto is fp8 -> mxfp8 -> int8, keeping the previous line commented with a TODO to restore it once the FP4 GEMM wins at these shapes. nvfp4 stays fully available as an explicit transformer_quant="nvfp4" request. |
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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 | ||