ced-gguf
GGUF quantizations of the CED family (Consistent Ensemble Distillation, Xiaomi) - SOTA-tier audio-tagging models that classify everyday sounds (baby cry, footsteps, glass breaking, alarms, dog bark, ...) into the 527-class AudioSet ontology.
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| ced-base-q8_0.gguf | Q8_0 | 0.1 GB | 0.6 GB | ✅ Runs comfortably |
| ced-base-f32.gguf | GGUF | 0.3 GB | 0.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-06-21
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-14
Compare with any audio-classification model