cstr / parakeet-tdt-1.1b-GGUF

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automatic-speech-recognition

Introduction of parakeet-tdt-1.1b-GGUF

Model Details of parakeet-tdt-1.1b-GGUF

Parakeet TDT 1.1B — GGUF (ggml-quantised)

GGUF / ggml conversions of nvidia/parakeet-tdt-1.1b for use with the crispasr CLI from CrispStrobe/CrispASR .

The larger Parakeet TDT — 1.1 B parameters, 42-layer FastConformer encoder. The biggest pure-English TDT variant in the family. Pick this when you want maximum WER quality on long-tail English vocabulary and don't mind paying 2× the compute relative to 0.6 B.

  • English-only , lowercase output without punctuation
  • Built-in word-level timestamps from the TDT decoder
  • CC-BY-4.0 licence

This repo provides three quantisations, all converted from the same .nemo checkpoint via the convert-parakeet-to-gguf.py script and quantised with crispasr-quantize .

Files
File Size Notes
parakeet-tdt-1.1b.gguf 2.14 GB F16, full precision
parakeet-tdt-1.1b-q8_0.gguf 1.27 GB Q8_0, near-lossless
parakeet-tdt-1.1b-q4_k.gguf 808 MB Q4_K — recommended default

Smoke test on samples/jfk.wav (11 s clip, M1 Metal):

Quant Time Realtime Output
F16 0.68 s 16.1× "and so my fellow americans ask not what your country can do for you ask what you can do for your country"
Q8_0 0.67 s 16.4× (identical)
Q4_K 0.69 s 16.0× (identical)

Output is lowercase, no punctuation by design — the upstream vocab is lowercase-only. If you need proper casing/punctuation, pipe the output through a punctuation-restoration post-processor ( --punc-model fullstop-punc or fireredpunc ).

Quick Start
# 1. Build the runtime
git clone https://github.com/CrispStrobe/CrispASR
cd CrispASR
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j$(nproc) --target crispasr

# 2a. Auto-download via the registry key
./build/bin/crispasr -m parakeet-tdt-1.1b --auto-download -f your-audio.wav

# 2b. Or explicit download + load
hf download cstr/parakeet-tdt-1.1b-GGUF \
    parakeet-tdt-1.1b-q4_k.gguf --local-dir .
./build/bin/crispasr -m parakeet-tdt-1.1b-q4_k.gguf -f your-audio.wav

# 2c. Lowercase output → add punctuation
./build/bin/crispasr -m parakeet-tdt-1.1b --punc-model fullstop-punc -f your-audio.wav
When to pick this over the other Parakeet variants
Scenario Pick
English, long-tail vocab, fine with 2× compute tdt-1.1b (this repo)
English, best WER per FLOP, mixed-case output cstr/parakeet-tdt-0.6b-v2-GGUF
Multilingual (25 EU languages) cstr/parakeet-tdt-0.6b-v3-GGUF
Tight RAM, English cstr/parakeet-tdt_ctc-110m-GGUF
English 1.1B with proper casing/punct in output cstr/parakeet-tdt_ctc-1.1b-GGUF
Model architecture
Component Details
Encoder 42-layer FastConformer, d=1024, 8 heads, head_dim=128, FFN=4096, conv kernel=9
Subsampling Conv2d dw_striding stack, 8× temporal (100 → 12.5 fps)
Predictor 2-layer LSTM, hidden 640
Joint head enc(1024 → 640) + pred(640 → 640) → ReLU → linear(640 → 1029) — TDT, 5 durations
Vocab 1024 SentencePiece tokens (English, lowercase) + blank
Audio 16 kHz mono, 80 mel bins , n_fft=512, hop=160, win=400
Parameters ~1.1 B

42 layers vs 24 for 0.6b — same encoder design, just deeper.

Attribution
License

CC-BY-4.0, inherited from the base model.

Runs of cstr parakeet-tdt-1.1b-GGUF on huggingface.co

1.6K
Total runs
44
24-hour runs
76
3-day runs
182
7-day runs
515
30-day runs

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