Two bugs found while building the hosted checkpoints: - The builder recorded torch.__version__ (a TorchVersion object) in the checkpoint metadata, so torch.load(weights_only=True) rejected every artifact and the loader silently fell back to the dense download. Record plain strings. - Re-applying the layerwise fp8 cast to an injected pre-cast encoder raised on the duplicate hook registration, making quantize_text_encoders report the engaged cast as failed (status showed no TE quant while the encoder ran fp8). _cast_fp8 now returns early when the hooks are already installed. Also corrects the LTX TE size note: Gemma3-12B stored fp32 (~49 GB), not 27B. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| rag | ||
| training | ||
| __init__.py | ||
| _torchao_stub.py | ||
| import_guards.py | ||
| tool_healing.py | ||