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Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW

Mantis2024/Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW

Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW at I1-IQ1_S is exactly 2,378,566,208 bytes (2.22 GiB / 2.38 GB) — an effective 2.059 bits per weight, not the nominal 1. Its KV cache at 32K is 5.99 GiB, not the 10.50 GiB a flat formula predicts.

From the file· summed from 1 file(s)From the file· KV per layer
Parameters
9.2B
Architecture
gemma2
42 layers
Context
8,192
native (config.json)
License

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
I1-IQ1_S2.22 GiB2,378,566,2082.059skykholodovzz
I1-IQ1_S2.22 GiB2,378,566,2082.059skilledu
I1-IQ1_S2.22 GiB2,378,566,2082.059mradermacher
I1-IQ1_M2.37 GiB2,545,953,3442.204skykholodovzz
I1-IQ1_M2.37 GiB2,545,953,3442.204skilledu
I1-IQ1_M2.37 GiB2,545,953,3442.204mradermacher
I1-IQ2_XXS2.63 GiB2,824,931,9042.445skykholodovzz
I1-IQ2_XXS2.63 GiB2,824,931,9042.445skilledu
I1-IQ2_XXS2.63 GiB2,824,931,9042.445mradermacher
I1-IQ2_XS2.86 GiB3,067,382,3362.655mradermacher
I1-IQ2_XS2.86 GiB3,067,382,3362.655skykholodovzz
I1-IQ2_XS2.86 GiB3,067,382,3362.655skilledu
I1-IQ2_S2.99 GiB3,211,487,8082.780skilledu
I1-IQ2_S2.99 GiB3,211,487,8082.780skykholodovzz
I1-IQ2_S2.99 GiB3,211,487,8082.780mradermacher
I1-IQ2_M3.20 GiB3,434,670,6562.973skilledu
I1-IQ2_M3.20 GiB3,434,670,6562.973skykholodovzz
I1-IQ2_M3.20 GiB3,434,670,6562.973mradermacher
I1-Q2_K_S3.31 GiB3,552,512,5763.075skilledu
I1-Q2_K_S3.31 GiB3,552,512,5763.075mradermacher
I1-Q2_K_S3.31 GiB3,552,512,5763.075skykholodovzz
I1-IQ3_XXS3.54 GiB3,796,740,6723.287mradermacher
I1-IQ3_XXS3.54 GiB3,796,740,6723.287skilledu
I1-IQ3_XXS3.54 GiB3,796,740,6723.287skykholodovzz
I1-Q2_K3.54 GiB3,805,399,6163.294skykholodovzz
I1-Q2_K3.54 GiB3,805,399,6163.294skilledu
I1-Q2_K3.54 GiB3,805,399,6163.294mradermacher
I1-IQ3_XS3.86 GiB4,144,990,7843.588mradermacher
I1-IQ3_XS3.86 GiB4,144,990,7843.588skilledu
I1-IQ3_XS3.86 GiB4,144,990,7843.588skykholodovzz
I1-Q3_K_S4.04 GiB4,337,666,6243.755skilledu
I1-Q3_K_S4.04 GiB4,337,666,6243.755mradermacher
I1-IQ3_S4.04 GiB4,337,666,6243.755skykholodovzz
I1-IQ3_S4.04 GiB4,337,666,6243.755mradermacher
I1-Q3_K_S4.04 GiB4,337,666,6243.755skykholodovzz
I1-IQ3_S4.04 GiB4,337,666,6243.755skilledu
I1-IQ3_M4.19 GiB4,494,617,1523.891skykholodovzz
I1-IQ3_M4.19 GiB4,494,617,1523.891skilledu
I1-IQ3_M4.19 GiB4,494,617,1523.891mradermacher
I1-Q3_K_M4.43 GiB4,761,782,8484.122mradermacher

KV cache by context

computed per layer — this model uses sliding-window attention
ContextKV cache (f16)Flat formulaOverstated byFull / windowed / recurrent
4,0961.31 GiB1.31 GiB21 / 21 / 0
8,1922.05 GiB2.63 GiB1.28×21 / 21 / 0
16,3843.36 GiB5.25 GiB1.56×21 / 21 / 0
32,7685.99 GiB10.50 GiB1.75×21 / 21 / 0
65,53611.24 GiB21.00 GiB1.87×21 / 21 / 0
131,07221.74 GiB42.00 GiB1.93×21 / 21 / 0

21 of 42 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 I1-IQ1_S at roughly 4.84 GiB. The real file is 2.22 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 10.50 GiB at 32K context where the real figure is 5.99 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
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 Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW need?
I1-IQ1_S is exactly 2,378,566,208 bytes (2.22 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
How large is Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW's KV cache?
5.99 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 Dirty-Muse-Writer-v01-Uncensored-Erotica-NSFW 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.