- Trainers emit the pre-clip gradient norm; the service keeps a bounded grad_norm history and the Train tab renders a Grad Norm chart next to Loss and LR - Completed runs show 'Training complete' with a celebratory marker in the success color instead of a plain status word - metadata.jsonl caption keys now match on Windows (as_posix relative paths) in both the trainer discovery and the dataset image records - RMSNorm eager patch skips installation on torch builds without F.rms_norm instead of failing at forward time - GGUF compute description no longer says the GGUF is dequantised: the INT8/FP8/FP4 modes load the base model's bf16 transformer and quantise that directly; label no longer wraps in the Advanced panel |
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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 | ||