raftbioworks/frameflow-ltx-ae-vae-p64-full-2h-20261001

vae_p64_full_2h Joint protein representation autoencoder ablation. See config.yaml, provenance.json and status.json for the exact configuration and progress. W&B: https://wandb.ai/gaorory-ucla-team/frameflow-ltx/runs/chify8j8 Exact FP32 model weights are retained every 5 optimizer steps inside immutable checkpoints/.tar shards. Each member is a torch checkpoint containing vae, config, step, and train_seconds. checkpoints.jsonl records member names and SHA-256 hashes. Extract a… See the full description on the dataset page: https://huggingface.co/datasets/raftbioworks/frameflow-ltx-ae-vae-p64-f

<iframe src="https://silytics.si/embed/item/bdb2f7b5-30fb-4507-91f5-0d1664e40eb5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.