--- license: apache-2.0 base_model: CohereLabs/cohere-transcribe-03-2026 pipeline_tag: automatic-speech-recognition library_name: openasr tags: - automatic-speech-recognition - speech-to-text - openasr - oasr - cohere-transcribe ---
# Cohere Transcribe 03-2026 Β· OpenASR **Dedicated 2B ASR for 14-language transcription** [![License](https://img.shields.io/badge/license-Apache--2.0-2563eb.svg)](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026/blob/main/README.md) [![Format](https://img.shields.io/badge/format-.oasr-7c3aed.svg)](https://github.com/QuintinShaw/openasr) [![Runtime](https://img.shields.io/badge/runtime-OpenASR-111827.svg)](https://openasr.org) [![Base model](https://img.shields.io/badge/base-cohere--transcribe--03--2026-f59e0b.svg)](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026) Native speech-to-text in the **[OpenASR](https://github.com/QuintinShaw/openasr)** runtime β€” engineered for peak performance on CPU & GPU, **no Python at inference time**.
--- ## ✨ Highlights - πŸŽ™οΈ **Dedicated ASR** β€” audio-in, text-out model built specifically for transcription - 🌍 **14 languages** β€” covers English, major European languages, Arabic, Chinese, Japanese, Korean, and Vietnamese - 🧱 **Conformer encoder-decoder** β€” large acoustic encoder with a lightweight Transformer decoder - πŸ¦€ **Native in OpenASR** β€” `.oasr` packs run with no Python at inference, engineered for peak performance on CPU & GPU ## πŸš€ Quickstart ```bash # 1. Install the OpenASR CLI Β· https://openasr.org # 2. Pull a build (pick a quant β€” see the table below) openasr pull cohere-transcribe-03-2026:q8 # 3. Transcribe openasr transcribe audio.wav --model cohere-transcribe-03-2026 ``` All builds for this model: ```bash openasr pull cohere-transcribe-03-2026:fp16 openasr pull cohere-transcribe-03-2026:q8 openasr pull cohere-transcribe-03-2026:q4 ``` ## πŸ“¦ Available builds | Quant | File (`.oasr`) | Size | RAM peak | RTF Β· M1 CPU | RTF Β· M1 GPU | JFK Ξ”WER vs fp16 | |:------|:---------------|-----:|---------:|-------------:|-------------:|-----------------:| | fp16 | `cohere-transcribe-03-2026-fp16.oasr` | 4.14 GB | 5.12 GB | 0.26Γ— | 0.11Γ— | 0.0% | | q8_0 | `cohere-transcribe-03-2026-q8_0.oasr` | 2.42 GB | 3.42 GB | 0.32Γ— | 0.11Γ— | 0.0% | | q4_k | `cohere-transcribe-03-2026-q4_k.oasr` | 1.51 GB | 2.49 GB | 0.25Γ— | 0.10Γ— | 0.0% | RTF = real-time factor on the fixed 11s JFK clip (**lower is faster**); RAM peak measured per pack in an isolated subprocess. JFK Ξ”WER compares each quantized build's JFK transcript to this model's fp16 JFK transcript, so it measures quantization drift rather than absolute recognition accuracy. **q8_0** is the recommended default β€” near-reference quality at a fraction of the footprint. ## 🧠 About Cohere Transcribe 03-2026 Cohere Transcribe 03-2026 is Cohere and Cohere Labs' open release of a 2B-parameter automatic speech recognition model. It is a dedicated audio-in, text-out architecture with a Conformer-based acoustic encoder and a lightweight Transformer decoder, trained from scratch for transcription. The upstream model card lists support for 14 languages across English, European, APAC, and MENA coverage and reports Apache-2.0 licensing. This OpenASR repo repackages the original `CohereLabs/cohere-transcribe-03-2026` weights as `.oasr` packs that run natively in the OpenASR runtime with no Python at inference time. For most users the q8_0 build is the recommended default; q4_k is for tighter memory budgets and fp16 is for verification or maximum fidelity. ## βš™οΈ How these packs were made Converted from [CohereLabs/cohere-transcribe-03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026) with the OpenASR importer: ```bash openasr model-pack import cohere .oasr \ --package-id cohere-transcribe-03-2026 --quantization {fp16,q8-0,q4-k} ``` The `.oasr` container is GGUF-backed; packs use zero-copy mmap weight binding and graph buffer reuse to keep peak memory low. ## βš–οΈ License These packs **inherit the upstream model's license: Apache-2.0** ([source](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026/blob/main/README.md)). OpenASR packaging retains the upstream copyright and NOTICE; the only modifications are format conversion and quantization. ## πŸ™ Acknowledgements This pack is a redistribution of **Cohere Transcribe 03-2026**, released by **Cohere** and **Cohere Labs** ([CohereLabs/cohere-transcribe-03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026)). All credit for the original model, training recipe, and weights belongs to Cohere and Cohere Labs. The upstream Hugging Face model card declares Apache-2.0 licensing; OpenASR only converts the weights into `.oasr` packages and adds quantized builds for local runtime use. ## πŸ”— Links - πŸ¦€ **OpenASR** β€” - 🌐 **Website** β€” - πŸ€— **Upstream model** β€” [CohereLabs/cohere-transcribe-03-2026](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026)