MODEL PROFILE

cohere-transcribe-03-2026-GGUF

cstr · cohere-transcribe-03-2026-GGUF

GGUF weights for **CohereLabs/cohere-transcribe-03-2026** — Cohere's open-source 2B-parameter ASR model, #1 on the Open ASR Leaderboard (avg WER 5.42, as of March 2026). This conversion enables high-performance CPU inference via **CrispASR** — a crispasr-style C++ runtime for the Cohere Conformer-encoder / Transformer-decoder architecture. `config.json` lists 14 supported languages (`en fr de es it pt nl pl el ar ja zh vi ko`), but the tokenizer carries **all 183 ISO-639-1 ` ` tokens**. So ` ` decodes without error, and the model answers a wrong language *fluently* rather than failing — there is no runtime signal at all. The whitelist therefore has to travel with the weights: these GGUFs carry it as `cohere_transcribe.supported_languages`, and CrispASR substitutes loudly when `-l` names something outside it. For a GGUF converted before that key existed, declare it with `CRISPASR_COHERE_LANGS=en,fr,de,…`.

Speech recognitionlicense:apache-2.0
Context windowNot disclosed
Input → OutputAudio → Text
Model weightsNot verified
Profile updated2026/11/2 19:17:00
OVERVIEW

Model overview

GGUF weights for **CohereLabs/cohere-transcribe-03-2026** — Cohere's open-source 2B-parameter ASR model, #1 on the Open ASR Leaderboard (avg WER 5.42, as of March 2026). This conversion enables high-performance CPU inference via **CrispASR** — a crispasr-style C++ runtime for the Cohere Conformer-encoder / Transformer-decoder architecture. `config.json` lists 14 supported languages (`en fr de es it pt nl pl el ar ja zh vi ko`), but the tokenizer carries **all 183 ISO-639-1 ` ` tokens**. So ` ` decodes without error, and the model answers a wrong language *fluently* rather than failing — there is no runtime signal at all. The whitelist therefore has to travel with the weights: these GGUFs carry it as `cohere_transcribe.supported_languages`, and CrispASR substitutes loudly when `-l` names something outside it. For a GGUF converted before that key existed, declare it with `CRISPASR_COHERE_LANGS=en,fr,de,…`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。