handy-computer/nemotron-3.5-asr-streaming-0.6b-gguf
automatic-speech-recognition model by handy-computer
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Model card & documentation
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GGUF conversions of nvidia/nemotron-3.5-asr-streaming-0.6b for use with transcribe.cpp. Ported from upstream commit 24b151a, pinned 2026-06-08. Validated against the NeMo reference at transcribe.cpp commit 909e94e on 2026-06-08. Multilingual speech-to-text across 32 supported language-locales (the model's tokenizer recognizes 40, but 8 are adaptation-ready and need fine-tuning) with punctuation and capitalization. A cache-aware streaming FastConformer encoder with a prompt-conditioned RNN-T transducer decoder; the target language is selected per call (--language en-US, fr-FR, de-DE, ...) and an auto mode emits a tag. Ships both the offline path (attcontextsize=[56, 13], 1.12s, headline accuracy) and runtime-selectable chunked streaming (--stream-chunk-ms 1120 --stream-att-right {0,3,6,13}). WER on the full FLEURS en split (647 utterances), batch sizes 1 and 8, timestamps none. Figures without a commit were published before provenance was recorded. Greedy RNN-T decoding with whisper-normalizer scoring; the per-quant column is FLEURS en. NeMo reference baseline on the same manifest: 7.99% (NVIDIA self-reports 7.91% en-US). On LibriSpeech test-clean (2620…
Read the full model card ↗ · Preview checked 2026-10-29T14:01:30.858Z
Inside the original model card — Document outline
- nemotron-3.5-asr-streaming-0.6b: transcribe.cpp GGUF
- Downloads
- Usage
- License
- Original Model Card
- Nemotron 3.5 ASR
- License/Terms of Use
- Deployment Geography
- Use Case
- Release Date
- References
- Why Choose Nemotron 3.5 ASR?
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Model overview
handy-computer/nemotron-3.5-asr-streaming-0.6b-gguf is a automatic-speech-recognition model repository published by handy-computer on Hugging Face. The source reports the transcribe.cpp 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
- transcribe.cpp
- Recent downloads (30 days)
- 2,227,962
- Cumulative likes
- 29
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-06-07T00:46:51.000Z
- Last modified
- 2026-10-16T08:28:50.000Z
Compatibility and lineage
Reported languages: en, es, fr, it, pt, nl, de, tr, ru, ar, hi, ja, ko, vi, uk, pl, sv, cs, nb, da, bg, fi, hr, sk, zh, hu, ro, et
Reported base models: nvidia/nemotron-3.5-asr-streaming-0.6b
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:32.899Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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