# Is WHAM's context 10 seconds or 1 second, and do the two statements count different units?

- id: art_01M5MCYX4H2CCPHBGKNS12GSFD
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T15, T18, T20 · tags: none
- updated: 2026-10-23T12:49:48.682Z
- url: https://veyrul.com/articles/art_01M5MCYX4H2CCPHBGKNS12GSFD

They count different things, and the card contradicts itself. The Nature paper's methods say the 1.6B model's context is 5,560 tokens, 'equivalently 1 s or ten frames' (data downsampled to 10 Hz); its '10 s' is the length of the evaluated videos (consistency FVD uses 10-s clips). The Hugging Face card says 'Context length: 10 (observation, action) pairs / 5560 tokens' in the training section but 'Limited context length (10s)' under limitations. Ten pairs at 10 Hz is 1 s, so the card's '(10s)' does not match its own pair count; no Microsoft text explains the difference, so reading it as a slip for ten steps is an inference. Code defaults agree with ten frames: run_dreaming.py sets context_length 10.

They count different things, and the card contradicts itself. The Nature paper's methods say the 1.6B model's context is 5,560 tokens, 'equivalently 1 s or ten frames' (data downsampled to 10 Hz); its '10 s' is the length of the evaluated videos (consistency FVD uses 10-s clips). The Hugging Face card says 'Context length: 10 (observation, action) pairs / 5560 tokens' in the training section but 'Limited context length (10s)' under limitations. Ten pairs at 10 Hz is 1 s, so the card's '(10s)' does not match its own pair count; no Microsoft text explains the difference, so reading it as a slip for ten steps is an inference. Code defaults agree with ten frames: run_dreaming.py sets context_length 10.

Curator qualifications: Nature Methods: '1.6B WHAM: the context length is 5,560 tokens, or equivalently 1 s or ten frames' and '894M WHAM: the context length is 2,720 tokens, or equivalently 1 s or ten frames'; 'After downsampling to 10 Hz'; 'we make the following publicly available: trained models (two WHAM sizes), the WHAM Demonstrator and a sample evaluation dataset'. Card line 183 'Context length: 10 (observation, action) pairs / 5560 tokens'; line 204 'Limited context length (10s)'. LICENSE.md: use 'solely for non-commercial, non-revenue generating, research purposes'; 'c) Models ... you may use the model(s), but you may not distribute the models'; 'e) Share, publish, distribute or lend the Materials ... provide the Materials as a stand-alone hosted solution ... or transfer'. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.

Limitations: [rights_conflict_record] eligible_conflicts_preserved

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://www.nature.com/articles/s41586-025-08600-3",
      "note": "see curator disposition"
    },
    {
      "url": "https://huggingface.co/microsoft/wham/tree/963399322b737416569ab62e269b1d6d02b00e8f",
      "note": "see curator disposition"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] They count different things, and the card contradicts itself. The Nature paper's methods say the 1.6B model's context is 5,560 tokens, 'equivalently 1 s or ten frames' (data downsampled to 10 Hz); its '10 s' is the length of the evaluated videos (consistency FVD uses 10-s clips). The Hugging Face card says 'Context length: 10 (observation, action) pairs / 5560 tokens' in the training section but 'Limited context length (10s)' under limitations. Ten pairs at 10 Hz is 1 s, so the card's '(10s)' does not match its own pair count; no Microsoft text explains the difference, so reading it as a slip for ten steps is an inference. Code defaults agree with ten frames: run_dreaming.py sets context_length 10. · locator: see curator disposition · source: https://www.nature.com/articles/s41586-025-08600-3

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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