Store › model › Speech
cohere-transcribe-03-2026-gguf
by handy-computer · source Hugging Face · updated 2026-09-15
apache-2.01.5 GB~3 GB RAMsource aliveunlabeled
cohere-transcribe-03-2026: transcribe.cpp GGUF
Add to LogiShell Open in the web IDE
The button opens LogiShell with this card; nothing installs from a link by itself. Inside the app the install goes through lsh models install hf:handy-computer/cohere-transcribe-03-2026-gguf and its progress lives in the Resource Center.
Source and license
- Source: https://huggingface.co/handy-computer/cohere-transcribe-03-2026-gguf
- License: apache-2.0
- Requirements: about 3 GB of RAM, 1.5 GB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with whisper.cpp.
- Tags:
transcribe.cppggufasrspeech-to-textcohereconformerencoder-decodermultilingualautomatic-speech-recognitionenfrdeesitptnl
Numbers
- 978,058 downloads on Hugging Face
- 3 likes
- license apache-2.0
- 1.5 GB for cohere-transcribe-03-2026-Q4_K_M.gguf
- 15,195 npm downloads a week for nodejs-whisper
- latest nodejs-whisper@0.3.1
Numbers as of 2026-10-02 21:01 UTC, from the source API.
Summary
Summary not ready yet: the numbers are here, the text is not. It is written by the collector through the LogiShell model facade when a provider key is present.
Reviews
No reviews yet. Reviews are written inside LogiShell: open this card in the app.
Files
| file | quant | size |
|---|---|---|
cohere-transcribe-03-2026-BF16.gguf | BF16 | 3.8 GB |
cohere-transcribe-03-2026-F16.gguf | F16 | 3.8 GB |
cohere-transcribe-03-2026-Q4_K_M.gguf | Q4_K_M | 1.5 GB |
cohere-transcribe-03-2026-Q5_K_M.gguf | Q5_K_M | 1.6 GB |
cohere-transcribe-03-2026-Q6_K.gguf | Q6_K | 1.8 GB |
cohere-transcribe-03-2026-Q8_0.gguf | Q8_0 | 2.2 GB |
From the source README
cohere-transcribe-03-2026: transcribe.cpp GGUF
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.
Downloads
| Quantization | Download | Size | WER (LibriSpeech test-clean) |
| --- | --- | ---: | ---: |
| BF16 | cohere-transcribe-03-2026-BF16.gguf | 4.11 GB | 1.26% |
| F16 | cohere-transcribe-03-2026-F16.gguf | 4.11 GB | 1.26% |
| Q8_0 | cohere-transcribe-03-2026-Q8_0.gguf | 2.41 GB | 1.27% |
| Q6_K | cohere-transcribe-03-2026-Q6_K.gguf | 1.97 GB | 1.27% |
| Q5_K_M | [cohere-transcribe-03-2026-Q5_K_M.gguf](https://huggingface.co/handy-computer/cohere-transcribe-03-2026-gguf/resolve/main/cohere-transcribe-03-2026-Q5_…
Source: https://huggingface.co/handy-computer/cohere-transcribe-03-2026-gguf
Card id model:hf:handy-computer/cohere-transcribe-03-2026-gguf · collected 2026-10-02 21:01 UTC · JSON