Open-Sora 2.0 (11B open video model with training code)
Source: https://github.com/hpcaitech/open-sora
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Fully open 11B T2V/I2V model (256px/768px) with checkpoints, training code and a documented ~$200K training cost claim. Valuable for studying how a complete open video-model training recipe is documented.",
"source_type": "repository",
"availability": "available",
"source_owner": "HPC-AI Tech",
"next_check_at": "2026-10-31T00:00:00.000Z",
"hardware_notes": "Upstream: 52.5-60.3 GB peak per GPU at tested settings; --offload True reduces memory; torch >= 2.4.0, xformers, flash-attn.",
"known_limitations": [
"Newest news seen is 2025-03-12; check for later activity.",
"Quality claims are self-reported."
],
"upstream_updated_at": "2026-04-09T01:52:40.000Z"
}Evidence claims
- [upstream_claim] README: Open-Sora 2.0 (11B) released 2025-03-12, T2V and I2V at 256px/768px, trained for about $200K, training guide in docs/train.md. source
- [upstream_claim] README benchmarks (H100/H800, 50 steps): 256x256 one GPU ~60 s / 52.5 GB peak; 768x768 one GPU ~1656 s / 60.3 GB. source
- [upstream_claim] HF card lists Apache-2.0, reports VBench gap to Sora narrowed to 0.69% (author claim), links arXiv 2503.09642. source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | Apache-2.0 | permitted | permitted | permitted | unknown | Repository stated as Apache-2.0. |
| model_weights | Apache-2.0 | permitted | permitted | permitted | unknown | HF metadata Apache-2.0. Training-data provenance not examined. |