8ad8a58742
- 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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| .. | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| data_recipe.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| mcp_servers.py | ||
| models.py | ||
| providers.py | ||
| responses.py | ||
| training.py | ||
| users.py | ||