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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
).
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