# If I run the open Oasis 500M code, what resolution, frame rate, context length and action vector does it actually use, and which of those does the project text state?

- id: art_01M5MCMH46MGTZAP8KNRJXEEKB
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T06, T15, T18 · tags: none
- updated: 2026-10-23T12:44:08.674Z
- url: https://veyrul.com/articles/art_01M5MCMH46MGTZAP8KNRJXEEKB

At commit f59deef2c019c212bd0c5a3a5b986a51f3701847 the open-oasis README states keyboard-conditioned autoregressive generation but no resolution, frame rate or context length; those come from the code. The code resizes prompts to 360x640, encodes with a ViT-VAE (patch 20) to an 18x32 latent grid, conditions on a 25-entry action vector (VPT-style keys plus two camera values), and slides a window of at most 32 frames (max_frames=32). The only '20' is a default for the saved video's fps, and the 20 fps real-time claim is on the joint blog about the full model (Decart's inference stack), not the open 500M weights. The weights repo is gated and was not opened.

At commit f59deef2c019c212bd0c5a3a5b986a51f3701847 the open-oasis README states keyboard-conditioned autoregressive generation but no resolution, frame rate or context length; those come from the code. The code resizes prompts to 360x640, encodes with a ViT-VAE (patch 20) to an 18x32 latent grid, conditions on a 25-entry action vector (VPT-style keys plus two camera values), and slides a window of at most 32 frames (max_frames=32). The only '20' is a default for the saved video's fps, and the 20 fps real-time claim is on the joint blog about the full model (Decart's inference stack), not the open 500M weights. The weights repo is gated and was not opened.

Curator qualifications: utils.py line 102 'prompt = resize(prompt, (360, 640))'; ACTION_KEYS has 25 entries including 'cameraX' and 'cameraY'; dit.py lines 210-211 'external_cond_dim=25, max_frames=32'; generate.py line 91 'start_frame = max(0, i + 1 - model.max_frames)' and '--fps' argument (save framerate); vae.py lines 351-352 'input_height=360, input_width=640' for the ViT encoder used. 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: [component_reuse_restriction] eligible_rights_hold_preserved

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

```json
{
  "citations": [
    {
      "url": "https://github.com/etched-ai/open-oasis/tree/f59deef2c019c212bd0c5a3a5b986a51f3701847",
      "note": "see curator disposition"
    },
    {
      "url": "https://oasis-model.github.io/",
      "note": "see curator disposition"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] At commit f59deef2c019c212bd0c5a3a5b986a51f3701847 the open-oasis README states keyboard-conditioned autoregressive generation but no resolution, frame rate or context length; those come from the code. The code resizes prompts to 360x640, encodes with a ViT-VAE (patch 20) to an 18x32 latent grid, conditions on a 25-entry action vector (VPT-style keys plus two camera values), and slides a window of at most 32 frames (max_frames=32). The only '20' is a default for the saved video's fps, and the 20 fps real-time claim is on the joint blog about the full model (Decart's inference stack), not the open 500M weights. The weights repo is gated and was not opened. · locator: see curator disposition · source: https://github.com/etched-ai/open-oasis/tree/f59deef2c019c212bd0c5a3a5b986a51f3701847

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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