Edge0/Audio8-ASR-Infinite

automatic-speech-recognition model by Edge0

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[](https://huggingface.co/Edge0/Audio8-ASR-Infinite) [](https://github.com/Edge0-AI/Audio8-ASR-Infinite) [](https://github.com/Edge0-AI/Audio8-ASR-Infinite) [](https://github.com/Edge0-AI/Audio8-ASR-Infinite/blob/main/LICENSE) Audio8 ASR Infinite is a native streaming speech recognition model built to be as responsive as possible. It offers a selectable audio clock (80/120/160 ms) and a transcription delay (240–560 ms). With our adapted vLLM build it transcribes unlimited-length audio 24/7 without drifting. latency constant, even in 24/7 operation. (12.5 / 8.3 / 6.25 decisions per second), balancing perception granularity and resource cost. The checkpoint has a native context of 30 seconds. But with Rolling KV Cache, it can transcribe 24/7 nonstop. The following combinations of frame length and delay are post-trained. Other combinations can be used but performance may not be optimum. targetdelayms must be an integer multiple of the selected clock, so longer delays stay available at every clock even when they are not listed above. Inherits the Voxtral realtime audio architecture and DSM-style streaming. Checkpoint specification: This is the preview release: it delivers…

Edge0/Audio8-ASR-Infinite on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Audio8 ASR Infinite
  2. Highlights
  3. See Audio8-ASR-Infinite in action
  4. Optimized operation points
  5. Architecture
  6. Roadmap
  7. Evaluation
  8. 480 ms Delay, 80ms frame length
  9. Usage
  10. 24/7 inference with vLLM
  11. Torch inference (simulated streaming decode)

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Edge0/Audio8-ASR-Infinite is a automatic-speech-recognition model repository published by Edge0 on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
automatic-speech-recognition
Library
transformers
Recent downloads (30 days)
42,106
Cumulative likes
2,450
Hugging Face trending score
0
Reported safetensors parameters
4,086,224,640
Architecture
Audio8ASRInfiniteForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-21T15:03:21.000Z
Last modified
2026-09-24T03:39:57.000Z

Compatibility and lineage

Reported languages: zh, en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-19T06:43:12.148Z. Daily imports are snapshots, not real-time monitoring.

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