ibm-granite · audio asr

granite-speech-4.1-2b-plus

ibm-granite/granite-speech-4.1-2b-plus

granite-speech-4.1-2b-plus at Q4_K_M is exactly 1,023,646,816 bytes (0.95 GiB / 1.02 GB) — an effective 3.878 bits per weight, not the nominal 4. Its KV cache at 32K is 2.50 GiB.

From the file· summed from 1 file(s)From the file· KV per layer
Parameters
2.1B
Architecture
granite_speech
40 layers
Context
4,096
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
Q4_K_M0.95 GiB1,023,646,8163.878ibm-granite
Q5_K_M1.10 GiB1,178,311,7764.464ibm-granite
Q6_K1.25 GiB1,342,643,2965.086ibm-granite
Q4_K_M1.39 GiB1,489,663,4245.643handy-computer
Q5_K_M1.58 GiB1,691,297,0886.407handy-computer
Q8_01.62 GiB1,737,793,0886.583ibm-granite
Q6_K1.73 GiB1,859,821,5047.045handy-computer
Q8_02.18 GiB2,345,973,1528.887handy-computer
Q4_K2.75 GiB2,957,822,75211.205cstr
BF163.04 GiB3,267,405,24812.378ibm-granite
BF163.94 GiB4,228,988,76816.020handy-computer
F163.94 GiB4,229,971,80816.024handy-computer
F165.21 GiB5,598,667,23221.209cstr

KV cache by context

computed per layer
ContextKV cache (f16)Flat formulaOverstated byFull / windowed / recurrent
4,0960.31 GiB0.31 GiB40 / 0 / 0
8,1920.63 GiB0.63 GiB40 / 0 / 0
16,3841.25 GiB1.25 GiB40 / 0 / 0
32,7682.50 GiB2.50 GiB40 / 0 / 0
65,5365.00 GiB5.00 GiB40 / 0 / 0
131,07210.00 GiB10.00 GiB40 / 0 / 0

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 1.11 GiB. The real file is 0.95 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

from config.json
Layers
40
Attention heads
16
KV heads
4
Head dim
128
Hidden size
2048
Vocab
100,353
Sliding window
none
SWA period
MLA
no
Experts
Experts per token
use_sliding_window

Questions people ask

How much VRAM does granite-speech-4.1-2b-plus need?
Q4_K_M is exactly 1,023,646,816 bytes (0.95 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
How large is granite-speech-4.1-2b-plus's KV cache?
2.50 GiB at 32K context with an f16 cache, computed per layer. Quantizing the cache to q8_0 roughly halves it, which is often the difference between a context length fitting and not.
Which quantization of granite-speech-4.1-2b-plus 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.