nvidia · audio asr

parakeet-tdt_ctc-110m

nvidia/parakeet-tdt_ctc-110m

parakeet-tdt_ctc-110m at Q4_K_M is exactly 89,989,600 bytes (0.08 GiB / 0.09 GB) — an effective 6.309 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)
Parameters
114M
Architecture
parakeet
Context
native (config.json)
License
cc-by-4.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
Q4_K0.07 GiB78,143,2965.478cstr
Q4_K_M0.08 GiB89,989,6006.309handy-computer
Q5_K_M0.09 GiB101,335,5207.104handy-computer
Q6_K0.10 GiB112,311,2647.874handy-computer
Q8_00.12 GiB126,617,6008.877cstr
Q8_00.13 GiB135,373,2809.490handy-computer
F160.21 GiB229,334,56016.078handy-computer
F320.43 GiB456,524,06432.005handy-computer

Compare with

same modality, comparable size

Will it run on your card?

full quant x context sweep

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 0.06 GiB. The real file is 0.08 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

Architecture unavailable — this repository is gated and no ungated mirror was found. Exact file sizes above are still authoritative; only the KV math needs the config.

Questions people ask

How much VRAM does parakeet-tdt_ctc-110m need?
Q4_K_M is exactly 89,989,600 bytes (0.08 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of parakeet-tdt_ctc-110m should I use?
Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.