cstr/kyutai-stt-2.6b-en-GGUF overview
Kyutai STT 2.6B English — GGUF GGUF conversion of kyutai/stt 2.6b en https://huggingface.co/kyutai/stt 2.6b en for the CrispASR https://github.com/CrispStrobe/…
Runs locally from ~4.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | cstr/kyutai-stt-2.6b-en-GGUF |
|---|---|
| Author | cstr |
| Pipeline | automatic-speech-recognition |
| License | apache-2.0 |
| Base model | kyutai/stt-2.6b-en |
| Last modified | 2026-07-11T16:08:44.000Z |
Model README
---
language: en
license: apache-2.0
tags:
- gguf
- asr
- speech-recognition
- streaming
- kyutai
- moshi
- crispasr
base_model: kyutai/stt-2.6b-en
pipeline_tag: automatic-speech-recognition
---
Kyutai STT 2.6B English — GGUF
GGUF conversion of kyutai/stt-2.6b-en for the CrispASR kyutai-stt backend.
High-quality English ASR from the Kyutai/Moshi team. Causal transformer LM conditioned on Mimi audio codec features — streaming-capable architecture.
Architecture
- Mimi encoder: SEANet CNN + transformer + RVQ (audio -> discrete tokens)
- Causal LM: 16-layer transformer (2048-dim, RoPE, SwiGLU, RMSNorm)
- Input: 16 kHz mono audio
- Output: English text transcription
Files
| File | Size | Description |
|------|------|-------------|
| kyutai-stt-2.6b-q4_k.gguf | 1.5 GB | Q4_K quantized (recommended) |
| kyutai-stt-2.6b-q8_0.gguf | 2.8 GB | Q8_0 quantized |
| kyutai-stt-2.6b-f16.gguf | 5.1 GB | F16 full precision |
| kyutai-stt-2.6b-ref.gguf | 4.0 MB | Diff harness reference |
Usage
# Auto-download:
crispasr --backend kyutai-stt -m auto --auto-download -f audio.wav
# Local model:
crispasr --backend kyutai-stt -m kyutai-stt-2.6b-q4_k.gguf -f audio.wav -osrt
License
Apache 2.0 (same as the original model).
Credits
Run cstr/kyutai-stt-2.6b-en-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models