handy-computer/cohere-transcribe-03-2026-gguf
automatic-speech-recognition model by handy-computer
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Model card & documentation
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GGUF conversions of CohereLabs/cohere-transcribe-03-2026 for use with transcribe.cpp. Ported from upstream commit 76b8b23, pinned 2026-04-16. Validated against the Transformers reference at transcribe.cpp commit bf0d0b7 on 2026-04-18. Offline multilingual speech-to-text covering 14 languages (English, French, German, Spanish, Italian, Portuguese, Dutch, Polish, Greek, Arabic, Japanese, Chinese, Vietnamese, Korean). A Conformer encoder with a Transformer encoder-decoder head (cross-attention, tied token embedding). Takes a 16 kHz mono WAV and produces a transcript. Decoding is autoregressive. WER on the full LibriSpeech test-clean split (2,620 utterances), batch sizes 1 and 8, timestamps none. Figures without a commit were published before provenance was recorded. Greedy decoding, no external LM. BF16 reference baseline: 1.26%. Cohere's self-reported number on the same split is 1.25% (Open ASR Leaderboard, as of 2026-03-26). Both ours and Cohere's numbers use the Whisper EnglishTextNormalizer, so the comparison is apples-to-apples and our port matches the upstream reference within rounding. Build transcribe.cpp from source: Run on…
Read the full model card ↗ · Preview checked 2026-10-30T18:35:01.355Z
Inside the original model card — Document outline
- cohere-transcribe-03-2026: transcribe.cpp GGUF
- Downloads
- Usage
- License
- Original Model Card
- Cohere Transcribe
- Usage
- Quick Start 🤗
- Broader dependency support with trustremotecode=True
- Installation
- Example 1: Quick Start
- vLLM Integration
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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
handy-computer/cohere-transcribe-03-2026-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)
- 1,288,379
- Cumulative likes
- 11
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-15T11:52:48.000Z
- Last modified
- 2026-10-16T08:26:38.000Z
Compatibility and lineage
Reported languages: en, fr, de, es, it, pt, nl, pl, el, ar, ja, zh, vi, ko
Reported base models: CohereLabs/cohere-transcribe-03-2026
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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