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The lazy loader retries `import unsloth_zoo.hf_xet_fallback` under UNSLOTH_ZOO_DISABLE_GPU_INIT=1 whenever the first attempt raises. That flag makes unsloth_zoo take its MLX/CPU path, which injects triton and bitsandbytes STUBS into sys.modules for the rest of the process. On a working GPU box whose first import failed for an unrelated reason (a bitsandbytes/CUDA mismatch, say) the retry succeeds, so Studio boots looking healthy and then dies at the first CUDA-only kernel: a GGUF or compiled diffusion generation hits the stub and returns NotImplementedError: Unsloth: 'triton.tools.experimental_descriptor.enable_in_pytorch' was called on Apple Silicon / MLX, where triton is stubbed out. so every image generation 500s with an Apple-Silicon message on a Linux CUDA host, while the load reports success. Found by loading Z-Image-Turbo GGUF through the API on a box where bitsandbytes could not initialise. Gate the retry on the host genuinely having no accelerator. The Xet stall watchdog is optional and already degrades with a warning; a process whose triton is stubbed out is not recoverable. The warning now says why it did not retry. |
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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 | ||
| install_whisper_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| MCP.md | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| prebuilt_core.py | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||