OBLITERATUS · text

gemma-4-E4B-it-OBLITERATED

OBLITERATUS/gemma-4-E4B-it-OBLITERATED

gemma-4-E4B-it-OBLITERATED at I1-IQ1_S is exactly 3,289,756,576 bytes (3.06 GiB / 3.29 GB) — an effective 3.291 bits per weight, not the nominal 1. Its KV cache at 32K is 0.51 GiB, not the 2.63 GiB a flat formula predicts.

From the file· summed from 1 file(s)From the file· KV per layer
Parameters
8.0B
Architecture
42 layers
Context
131,072
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
I1-IQ1_S3.06 GiB3,289,756,5763.291mradermacher
I1-IQ1_M3.14 GiB3,372,270,4963.374mradermacher
I1-IQ2_XXS3.27 GiB3,509,793,6963.511mradermacher
I1-IQ2_XS3.38 GiB3,627,840,4163.630mradermacher
I1-IQ2_S3.42 GiB3,677,279,1363.679mradermacher
I1-IQ2_M3.53 GiB3,787,297,6963.789mradermacher
I1-IQ3_XXS3.71 GiB3,982,840,7363.985mradermacher
I1-Q2_K_S3.98 GiB4,269,589,4084.272mradermacher
I1-Q2_K4.08 GiB4,376,781,7284.379mradermacher
I1-IQ3_XS4.23 GiB4,545,885,0884.548mradermacher
I1-Q3_K_S4.31 GiB4,630,959,0084.633mradermacher
I1-IQ3_S4.32 GiB4,635,833,2484.638mradermacher
I1-IQ3_M4.37 GiB4,687,360,9284.690mradermacher
I1-Q3_K_M4.49 GiB4,823,061,4084.825mradermacher
I1-Q3_K_L4.65 GiB4,990,505,8884.993mradermacher
I1-IQ4_XS4.69 GiB5,037,384,6085.040mradermacher
I1-IQ4_NL4.81 GiB5,159,527,3285.162mradermacher
I1-Q4_04.81 GiB5,163,131,8085.166mradermacher
I1-Q4_K_S4.82 GiB5,171,979,1685.175mradermacher
I1-Q4_K_M4.94 GiB5,302,272,9285.305mradermacher
I1-Q4_15.03 GiB5,401,519,0085.404mradermacher
I1-Q5_K_S5.26 GiB5,648,098,2085.651mradermacher
I1-Q5_K_M5.33 GiB5,723,997,0885.727mradermacher
I1-Q6_K5.75 GiB6,172,079,0086.175mradermacher

KV cache by context

computed per layer — this model uses sliding-window attention
ContextKV cache (f16)Flat formulaOverstated byFull / windowed / recurrent
4,0960.12 GiB0.33 GiB2.67×7 / 35 / 0
8,1920.18 GiB0.66 GiB3.69×7 / 35 / 0
16,3840.29 GiB1.31 GiB4.57×7 / 35 / 0
32,7680.51 GiB2.63 GiB5.19×7 / 35 / 0
65,5360.94 GiB5.25 GiB5.57×7 / 35 / 0
131,0721.82 GiB10.50 GiB5.77×7 / 35 / 0

35 of 42 layers cache only a 512-token window rather than the full context, on a period of . 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 I1-IQ1_S at roughly 4.19 GiB. The real file is 3.06 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 2.63 GiB at 32K context where the real figure is 0.51 GiB, because most of this model's layers cache a fixed window rather than the whole context.

Architecture

from config.json
Layers
42
Attention heads
8
KV heads
2
Head dim
256
Hidden size
2560
Vocab
262,144
Sliding window
512
SWA period
MLA
no
Experts
Experts per token
use_sliding_window

Questions people ask

How much VRAM does gemma-4-E4B-it-OBLITERATED need?
I1-IQ1_S is exactly 3,289,756,576 bytes (3.06 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
How large is gemma-4-E4B-it-OBLITERATED's KV cache?
0.51 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 gemma-4-E4B-it-OBLITERATED 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.