LOADING DATASHEET
LOADING DATASHEET
by Nvidia
RANKED #12 OF 26 AUDIO · OVERALL #317 OF 494 RANKED · VIBE SCORE 5.8 · 83 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
parakeet-tdt-0.6b-v2 on Hugging Face (automatic speech recognition). 2,195,476 downloads. Open weights for local or hosted use.
23 mentions
4 mentions
26 weeks · 109 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download parakeet tdt 0.6B once and it's yours. No subscription, no rate limits, works offline.
600M parameters, full precision is about 2.4 GB, INT8 / quantized files are about 650 MB to 1.2 GB
Intel N100 Mini PC
8 GB RAM
~$130 NEWINT8 quantized via sherpa-onnx on CPU, comfortable batch-1 speech recognition
NVIDIA GeForce RTX 3060 12GB desktop
12 GB VRAM
~$260 USEDFP16 or INT8 via NVIDIA NeMo / ONNX GPU runtime with high batch throughput
NVIDIA GeForce RTX 4070 12GB desktop
12 GB VRAM
~$520 NEWFP32 / FP16 full precision, max chunk size (24-minute audio single pass) at ultra-high speed
No live install guides found yet. The hardware picks above still stand.
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long parakeet tdt 0.6B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMIntel N100 Mini PC | SWEET SPOTNVIDIA GeForce RTX 3060 12GB desktop | FULL POWERNVIDIA GeForce RTX 4070 12GB desktop |
|---|---|---|---|
| Narrate a scripta minute of spoken audio | ~12 S★★★★★ | UNDER A SECOND★★★★★ | UNDER A SECOND★★★★★ |
| Transcribe a recordinga ten minute recording turned into text | ~2 MIN★★★★★ | ~7 S★★★★★ | ~3 S★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People generally like parakeet tdt 0.6B, with some gripes. Biggest praise: getting facts right.
82 POSTS · 1 COMMENTS · GITHUB · X · REDDIT
2 thumbs up · 1 thumbs down
Other models the crowd has fully reviewed, starting with audio models like this one.
I built a 100% local, CPU-only voice loop for Ollama — talk to your models hands-free (Silero VAD + Parakeet STT + Supertonic TTS 3)
🎙️ Offline Speech-to-Text with NVIDIA Parakeet-TDT 0.6B v2
parakeet.wgsl – Fast, accurate ASR in the browser, via raw WebGPU & SIMD WASM
Built a fully local Mac app on Ollama (dictation, meeting notes, RAG): numbers and lessons from Gemma 4 e2b vs 26b, open source
I built a CPU-only local voice stack for AI agents (Claude Code, OpenCode, Codex) - Silero VAD + Parakeet STT + Supertonic TTS, one-command install, macOS/Linux/Windows
feat: choose Parakeet v3 or Whisper for local recognition
I had Grok 4.5 run an autoresearch optimization ladder on Parakeet CPU ASR. Result: Upto 2.1x faster STT
feat: téléchargement automatique de Parakeet v3 et Whisper Large v3 Turbo
Whispering: GitHub Releases detection and one-click dmg
whisper: Parakeet cannot load from a symlinked HF cache (3.8.1-2)
Replace Whisper with Parakeet and show live text while you speak
fix(desktop-gpui): caption non-European languages with Whisper instead of Parakeet