meta-models · vision language

Muse-Glimmer-30B

meta-models/Muse-Glimmer-30B

Muse-Glimmer-30B at Q4_K_M is exactly 17,306,324,000 bytes (16.12 GiB / 17.31 GB) — an effective 4.650 bits per weight, not the nominal 4. Its KV cache at 32K is 0.50 GiB, not the 1.63 GiB a flat formula predicts.

From the file· summed from 1 file(s)From the file· KV per layer
Parameters
29.8B
Architecture
muse-glimmer
52 layers
Context
131,072
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
IQ2_XXS8.31 GiB8,920,818,9762.397bartowski
IQ2_XS8.92 GiB9,582,585,1202.575bartowski
IQ2_S9.35 GiB10,040,015,3922.697bartowski
IQ2_M9.93 GiB10,657,479,2002.863bartowski
UD-IQ2_XXS10.01 GiB10,746,373,1522.887unsloth
Q2_K10.28 GiB11,035,579,9362.965bartowski
UD-IQ2_XS10.72 GiB11,513,104,4163.093unsloth
IQ3_XXS10.75 GiB11,546,640,9283.102bartowski
UD-IQ2_M11.41 GiB12,255,421,4723.293unsloth
IQ3_XS11.47 GiB12,315,026,2083.309bartowski
Q2_K_L11.50 GiB12,348,891,9363.318bartowski
Q3_K_S11.91 GiB12,789,199,6483.436bartowski
IQ3_M12.21 GiB13,106,238,2403.521bartowski
UD-IQ3_XXS12.23 GiB13,130,658,8483.528unsloth
Q3_K_M13.00 GiB13,962,519,3283.751bartowski
UD-IQ3_M13.15 GiB14,122,705,6963.794unsloth
Q3_K_L13.77 GiB14,782,112,5443.971bartowski
IQ4_XS14.38 GiB15,435,096,0964.147bartowski
IQ4_NL15.12 GiB16,238,568,4804.363bartowski
Q4_K_S15.20 GiB16,320,943,1364.385bartowski
Q4_K_M16.12 GiB17,306,324,0004.650bartowski
Q4_02 shards16.50 GiB17,716,659,3924.760bartowski
Q4_116.60 GiB17,828,207,6484.790bartowski
Q4_K_L17.05 GiB18,304,441,1204.918bartowski
Q4_K_M2 shards17.13 GiB18,387,892,0324.940meta-models
UD-Q5_K_M17.88 GiB19,194,274,8485.157unsloth
Q5_K_S18.11 GiB19,440,690,2085.223bartowski
UD-Q5_K_L18.41 GiB19,768,527,9045.311unsloth
Q5_K_M18.72 GiB20,105,571,3605.402bartowski
Q5_K_L19.50 GiB20,935,584,5445.625bartowski
Q6_K21.81 GiB23,414,418,7206.291bartowski
Q6_K_L22.41 GiB24,065,821,4726.466bartowski
Q8_027.58 GiB29,612,957,9847.956unsloth
Q8_02 shards30.12 GiB32,342,004,6728.689bartowski
BF162 shards51.90 GiB55,725,511,16814.972unsloth
BF162 shards51.90 GiB55,725,511,36014.972bartowski

KV cache by context

computed per layer — this model uses sliding-window attention
ContextKV cache (f16)Flat formulaOverstated byFull / windowed / recurrent
4,0960.15 GiB0.20 GiB1.39×13 / 39 / 0
8,1920.20 GiB0.41 GiB2.06×13 / 39 / 0
16,3840.30 GiB0.81 GiB2.72×13 / 39 / 0
32,7680.50 GiB1.63 GiB3.24×13 / 39 / 0
65,5360.91 GiB3.25 GiB3.58×13 / 39 / 0
131,0721.72 GiB6.50 GiB3.78×13 / 39 / 0

39 of 52 layers cache only a 2,048-token window rather than the full context, on a period of 4. Figures assume the default configuration; --swa-full disables the saving entirely.

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 15.60 GiB. The real file is 16.12 GiB, because a quantization is a mixture and some tensors are always kept at higher precision. The larger discrepancy is the cache: a flat formula gives 1.63 GiB at 32K context where the real figure is 0.50 GiB, because most of this model's layers cache a fixed window rather than the whole context.

Architecture

from config.json
Layers
52
Attention heads
32
KV heads
2
Head dim
128
Hidden size
6656
Vocab
202,048
Sliding window
2048
SWA period
4
MLA
no
Experts
Experts per token
use_sliding_window

Questions people ask

How much VRAM does Muse-Glimmer-30B need?
Q4_K_M is exactly 17,306,324,000 bytes (16.12 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
How large is Muse-Glimmer-30B's KV cache?
0.50 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 Muse-Glimmer-30B 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.