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Gemma-The-Writer-N-Restless-Quill-10B-Uncensored

DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored

Gemma-The-Writer-N-Restless-Quill-10B-Uncensored at Q4_K_M is exactly 6,100,479,520 bytes (5.68 GiB / 6.10 GB) — an effective 4.864 bits per weight, not the nominal 4. Its KV cache at 32K is 6.56 GiB, not the 11.50 GiB a flat formula predicts.

From the file· summed from 1 file(s)From the file· KV per layer
Parameters
10.0B
Architecture
gemma2
46 layers
Context
8,192
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
I1-IQ1_S2.37 GiB2,541,195,6162.026mradermacher
I1-IQ1_M2.54 GiB2,725,097,8242.173mradermacher
I1-IQ2_XXS2.82 GiB3,031,601,5042.417mradermacher
I1-IQ2_XS3.07 GiB3,297,907,0402.629mradermacher
I1-IQ2_S3.22 GiB3,453,251,9362.753mradermacher
I1-IQ2_M3.44 GiB3,698,454,8802.949mradermacher
I1-Q2_K3.81 GiB4,095,562,0803.265mradermacher
I1-IQ3_XXS3.82 GiB4,097,683,8083.267mradermacher
Q3_K_S4.14 GiB4,441,976,3523.541DavidAU
I1-IQ3_XS4.16 GiB4,462,448,9923.558mradermacher
I1-IQ3_S4.36 GiB4,678,521,1843.730mradermacher
I1-Q3_K_S4.36 GiB4,678,521,1843.730mradermacher
I1-IQ3_M4.51 GiB4,847,169,8883.864mradermacher
Q3_K_M4.57 GiB4,905,086,4963.911DavidAU
I1-Q3_K_M4.79 GiB5,141,631,3284.099mradermacher
I1-Q3_K_L5.17 GiB5,549,003,1044.424mradermacher
I1-IQ4_XS5.22 GiB5,604,397,4084.468mradermacher
Q4_K_S5.40 GiB5,803,208,2244.627DavidAU
I1-Q4_05.50 GiB5,905,338,7204.708mradermacher
I1-Q4_K_S5.52 GiB5,925,065,0564.724mradermacher
Q4_K_M5.68 GiB6,100,479,5204.864DavidAU
I1-Q4_K_M5.80 GiB6,222,336,3524.961mradermacher
Q5_K_S6.55 GiB7,028,821,5365.604DavidAU
I1-Q5_K_S6.55 GiB7,028,822,3685.604mradermacher
Q5_K_M6.71 GiB7,200,394,7845.740DavidAU
I1-Q5_K_M6.71 GiB7,200,395,6165.740mradermacher
I1-Q6_K7.67 GiB8,239,583,5846.569mradermacher
Q2_K3 shards13.24 GiB14,214,875,74411.333DavidAU
IQ4_XS3 shards17.99 GiB19,320,556,12815.403DavidAU
Q6_K3 shards25.24 GiB27,105,692,25621.610DavidAU
Q8_03 shards31.41 GiB33,729,268,32026.891DavidAU

KV cache by context

computed per layer — this model uses sliding-window attention
ContextKV cache (f16)Flat formulaOverstated byFull / windowed / recurrent
4,0961.44 GiB1.44 GiB23 / 23 / 0
8,1922.25 GiB2.88 GiB1.28×23 / 23 / 0
16,3843.68 GiB5.75 GiB1.56×23 / 23 / 0
32,7686.56 GiB11.50 GiB1.75×23 / 23 / 0
65,53612.31 GiB23.00 GiB1.87×23 / 23 / 0
131,07223.81 GiB46.00 GiB1.93×23 / 23 / 0

23 of 46 layers cache only a 4,096-token window rather than the full context, on a period of 2. 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 5.26 GiB. The real file is 5.68 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 11.50 GiB at 32K context where the real figure is 6.56 GiB, because most of this model's layers cache a fixed window rather than the whole context.

Architecture

from config.json
Layers
46
Attention heads
16
KV heads
8
Head dim
256
Hidden size
3584
Vocab
256,000
Sliding window
4096
SWA period
2
MLA
no
Experts
Experts per token
use_sliding_window

Questions people ask

How much VRAM does Gemma-The-Writer-N-Restless-Quill-10B-Uncensored need?
Q4_K_M is exactly 6,100,479,520 bytes (5.68 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-The-Writer-N-Restless-Quill-10B-Uncensored's KV cache?
6.56 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-The-Writer-N-Restless-Quill-10B-Uncensored 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.