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dylanuys merged 1 commit into from
Aug 25, 2026
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docs: remove obsolete ONNX submission guide #431

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -37,7 +37,7 @@ GAS runs two parallel competition tracks on Bittensor Subnet 34:
**Key facts:**
- **Three modalities**: Image, video, and audio detection are all scored independently
- **Cloud-evaluated**: Discriminator models are benchmarked on cloud infrastructure -- no GPU hosting required
- **Model format**: Safetensors only (ONNX is deprecated)
- **Model format**: Safetensors only (ONNX submissions are not accepted)
- **Datasets refresh weekly** with fresh GAS-Station data alongside static benchmarks
- **One model per modality per hotkey** for discriminative miners

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2 changes: 1 addition & 1 deletion docs/Discriminative-Mining.md
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Expand Up @@ -167,7 +167,7 @@ Before your model is ever scored on the network, it must pass an **entrance exam
- Your model must achieve **≥ 80% accuracy** averaged across all submitted modalities to pass
- The exam has a **maximum wall-clock timeout of 1 hour 25 minutes** (5,100 seconds); models that exceed this are treated as failed
- The exam runs in an **isolated cloud sandbox** — your code has no network access and cannot interact with the host environment
- ONNX models are additionally scanned for cheat patterns (embedded lookup tables or memorization artifacts) before the exam runs; detection results in an immediate block
- Submissions are statically analyzed and executed in an isolated sandbox; prohibited code or imports result in rejection

**Model status during the exam:**

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180 changes: 0 additions & 180 deletions docs/ONNX.md
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6 changes: 3 additions & 3 deletions gas/cli.py
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Expand Up @@ -680,9 +680,9 @@ def _f(v):


@discriminator.command(name="benchmark", context_settings={"ignore_unknown_options": True, "allow_extra_args": True})
@click.option("--image-model", help="Path to image detector ONNX model or zip file")
@click.option("--video-model", help="Path to video detector ONNX model or zip file")
@click.option("--audio-model", help="Path to audio detector ONNX model or zip file")
@click.option("--image-model", help="Path to image detector safetensors zip file")
@click.option("--video-model", help="Path to video detector safetensors zip file")
@click.option("--audio-model", help="Path to audio detector safetensors zip file")
@click.pass_context
def benchmark(ctx, image_model, video_model, audio_model):
"""Run image/video/audio benchmarks for provided detector models using gasbench.
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