nvidia · audio asr

parakeet-unified-en-0.6b

nvidia/parakeet-unified-en-0.6b

parakeet-unified-en-0.6b at Q4_K_M is exactly 477,274,496 bytes (0.44 GiB / 0.48 GB) — an effective 6.175 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)
Parameters
618M
Architecture
parakeet
Context
native (config.json)
License
cc-by-4.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
Q4_K_M0.44 GiB477,274,4966.175961handy-computer
Q5_K_M0.50 GiB540,795,2646.997961handy-computer
Q6_K0.56 GiB602,191,2327.792961handy-computer
Q8_00.68 GiB731,357,5689.463961handy-computer
F161.15 GiB1,239,114,24016.032961handy-computer
F322.30 GiB2,473,323,52032.001handy-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 0.32 GiB. The real file is 0.44 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-unified-en-0.6b need?
Q4_K_M is exactly 477,274,496 bytes (0.44 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-unified-en-0.6b 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.
parakeet-unified-en-0.6b — VRAM requirements, exact quant sizes — ossmodeldb