File	Quant	Size	Notes
`kyutai-stt-1b.gguf`	F16	2.0 GB	Full precision
`kyutai-stt-1b-q8_0.gguf`	Q8_0	1.1 GB	High quality
`kyutai-stt-1b-q4_k.gguf`	Q4_K	636 MB	Best size/quality tradeoff

All variants produce correct transcription on test audio (JFK speech).

Model details

Architecture: Mimi neural audio codec encoder (SEANet CNN + 8-layer transformer + RVQ with 32 codebooks at 12.5 Hz) + 16-layer causal transformer LM (2048d, RoPE, SwiGLU, RMSNorm)
Parameters: ~1B
Languages: English, French
Audio input: 24 kHz mono (auto-resampled from 16 kHz)
License: MIT
Reference: moshi.cpp (MIT)

This is a novel codec-based ASR architecture: audio is first encoded into discrete tokens via the Mimi neural audio codec, then a causal language model autoregressively predicts text tokens from the audio codes. Unlike encoder-decoder models (Whisper, Parakeet), the entire pipeline is autoregressive.

Usage with CrispASR

bash

git clone https://github.com/CrispStrobe/CrispASR && cd CrispASR
cmake -S . -B build && cmake --build build -j8

# Auto-detect backend from GGUF
./build/bin/crispasr -m kyutai-stt-1b-q4_k.gguf -f audio.wav

# Explicit backend
./build/bin/crispasr --backend kyutai-stt -m kyutai-stt-1b-q4_k.gguf -f audio.wav -osrt

Conversion

bash

python models/convert-kyutai-stt-to-gguf.py --input kyutai/stt-1b-en_fr --output kyutai-stt-1b.gguf
crispasr-quantize kyutai-stt-1b.gguf kyutai-stt-1b-q4_k.gguf q4_k

Provenance and EU AI Act Art. 53 note

Upstream model: kyutai/stt-1b-en_fr — published by kyutai.
Upstream licence: cc-by-4.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.

cstr/kyutai-stt-1b-GGUF

Kyutai STT 1B (en/fr) -- GGUF

Available variants

Model details

Usage with CrispASR

Conversion

Provenance and EU AI Act Art. 53 note

cstr/
kyutai-stt-1b-GGUF