How much VRAM does Qwen3-ForcedAligner-0.6B need?

Q4_K is exactly 529,001,216 bytes (0.49 GiB) in weights. Add the KV cache, which depends on context length, plus roughly half a gigabyte of runtime overhead.

Qwen · audio asr

Qwen3-ForcedAligner-0.6B

Qwen/Qwen3-ForcedAligner-0.6B

Qwen3-ForcedAligner-0.6B at Q4_K is exactly 529,001,216 bytes (0.49 GiB / 0.53 GB) — an effective 4.611 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)From the file· KV per layer

Parameters

918M

Architecture

qwen3asr

null layers

Context

—

native (config.json)

License

apache-2.0

Shipped quantizations

● exact bytes, summed from published files

Quant	Size●	Exact bytes●	Effective bpw●	Tensors●	Publisher
Q4_K	0.49 GiB	529,001,216	4.611	—	cstr
Q5_0	0.60 GiB	643,149,568	5.606	—	cstr
Q8_0	0.92 GiB	985,594,624	8.592	—	cstr
F16	1.72 GiB	1,841,707,200	16.055	—	cstr

Compare with

same modality, comparable size

vs nemotron-3.5-asr-streaming-0.6b vs parakeet-unified-en-0.6b vs parakeet-tdt-0.6b-v3 vs whisper-medium vs whisper-large-v3 vs canary-180m-flash All alternatives →Will it fit on my card? →

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K at roughly 0.48 GiB. The real file is 0.49 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

from config.json

Layers

—

Attention heads

—

KV heads

—

Head dim

—

Hidden size

—

Vocab

—

Sliding window

none

SWA period

—

MLA

Experts

—

Experts per token

—

use_sliding_window

—

Questions people ask

How much VRAM does Qwen3-ForcedAligner-0.6B need?: Q4_K is exactly 529,001,216 bytes (0.49 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of Qwen3-ForcedAligner-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.