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mradermacher/sarvam-30b-uncensored-i1-GGUF

mradermacher Sd 30B GGUF MoE second-order 131K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 15,510
  • author_summary 3324 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=mradermacher (M8 quantization producer, never originator)
  • is_gguf=1
  • base_model='aoxo/sarvam-30b-uncensored' (base has 'abliterated' marker, assume M1 default)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · lifetime
16K
2K last 30d - stable
Likes
1
Model age
5mo ago
created 2026-05-12
Downloads over time
Now15.8K→from10.3K↑54%
10K12.1K14.2K16.3K10.3K on May 1315.8K on Oct 12MayJunJulAugSepOct
May 13 → Oct 12 · 62 snapshots · spans 152 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 3K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en hi bn ta te mr gu kn ml pa or as ur sa ne sd kok mai doi mni sat ks bo
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliteration uncensored moe indic en hi bn ta te mr

Related

Total size
323 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-05-13 02:47

Files by quantization

Q6_K 1 file 24.6 GB
sarvam-30b-uncensored.i1-Q6_K.gguf 24.6 GB 9f368c94 download
Q5_K 2 files 42.1 GB
sarvam-30b-uncensored.i1-Q5_K_M.gguf 21.3 GB 702e0c14 download
sarvam-30b-uncensored.i1-Q5_K_S.gguf 20.8 GB 4e10147a download
Q4 2 files 36.1 GB
sarvam-30b-uncensored.i1-Q4_1.gguf 19.0 GB 1862cabe download
sarvam-30b-uncensored.i1-Q4_0.gguf 17.2 GB 48b9ba77 download
Q4_K 2 files 35.5 GB
sarvam-30b-uncensored.i1-Q4_K_M.gguf 18.2 GB c852cc6c download
sarvam-30b-uncensored.i1-Q4_K_S.gguf 17.2 GB 34ac25d0 download
IQ4 1 file 16.3 GB
sarvam-30b-uncensored.i1-IQ4_XS.gguf 16.3 GB f58d71f1 download
Q3_K 3 files 43.7 GB
sarvam-30b-uncensored.i1-Q3_K_L.gguf 15.8 GB eede79e2 download
sarvam-30b-uncensored.i1-Q3_K_M.gguf 14.6 GB 811ffb52 download
sarvam-30b-uncensored.i1-Q3_K_S.gguf 13.3 GB da8325c5 download
IQ3 4 files 51.4 GB
sarvam-30b-uncensored.i1-IQ3_M.gguf 13.5 GB e116e576 download
sarvam-30b-uncensored.i1-IQ3_S.gguf 13.3 GB 32bdcecd download
sarvam-30b-uncensored.i1-IQ3_XS.gguf 12.7 GB 34711b67 download
sarvam-30b-uncensored.i1-IQ3_XXS.gguf 11.9 GB c3890ac2 download
Q2_K 2 files 22.0 GB
sarvam-30b-uncensored.i1-Q2_K.gguf 11.4 GB ef3e1761 download
sarvam-30b-uncensored.i1-Q2_K_S.gguf 10.6 GB 1a3a2d80 download
IQ2 4 files 37.4 GB
sarvam-30b-uncensored.i1-IQ2_M.gguf 10.3 GB 9f183542 download
sarvam-30b-uncensored.i1-IQ2_S.gguf 9.45 GB 668b05ca download
sarvam-30b-uncensored.i1-IQ2_XS.gguf 9.25 GB ec9b60dc download
sarvam-30b-uncensored.i1-IQ2_XXS.gguf 8.41 GB 8701ee22 download
IQ1 2 files 14.1 GB
sarvam-30b-uncensored.i1-IQ1_M.gguf 7.36 GB 3d851dee download
sarvam-30b-uncensored.i1-IQ1_S.gguf 6.73 GB 95078260 download
Auxiliary files 3 files 82.6 MB
sarvam-30b-uncensored.imatrix.gguf 82.6 MB 36136b0f download
README.md 6.08 KB ebdb54b1 download
.gitattributes 3.18 KB 84b5f961 download

README current version from Hugging Face


base_model: aoxo/sarvam-30b-uncensored
language:

  • en
  • hi
  • bn
  • ta
  • te
  • mr
  • gu
  • kn
  • ml
  • pa
  • or
  • as
  • ur
  • sa
  • ne
  • sd
  • kok
  • mai
  • doi
  • mni
  • sat
  • ks
  • bo
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliteration
  • uncensored
  • moe
  • indic

About

weighted/imatrix quants of https://huggingface.co/aoxo/sarvam-30b-uncensored

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/sarvam-30b-uncensored-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs
for
more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF imatrix 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.3 for the desperate
GGUF i1-IQ1_M 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.0
GGUF i1-IQ2_S 10.2
GGUF i1-IQ2_M 11.1
GGUF i1-Q2_K_S 11.4 very low quality
GGUF i1-Q2_K 12.3 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.7
GGUF i1-Q3_K_S 14.4 IQ3_XS probably better
GGUF i1-IQ3_S 14.4 beats Q3_K*
GGUF i1-IQ3_M 14.6
GGUF i1-Q3_K_M 15.8 IQ3_S probably better
GGUF i1-Q3_K_L 17.1 IQ3_M probably better
GGUF i1-IQ4_XS 17.6
GGUF i1-Q4_0 18.5 fast, low quality
GGUF i1-Q4_K_S 18.6 optimal size/speed/quality
GGUF i1-Q4_K_M 19.7 fast, recommended
GGUF i1-Q4_1 20.5
GGUF i1-Q5_K_S 22.4
GGUF i1-Q5_K_M 23.0
GGUF i1-Q6_K 26.5 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

image.png

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

README history 5 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-05-13auto-patch README.md6df79b06.1 KB
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  2. 2026-05-13auto-patch README.mdfc2b88c5 KB
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  3. 2026-05-13auto-patch README.md82e6f714.3 KB
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  4. 2026-05-12auto-patch README.md3282b7e3 KB
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  5. 2026-05-12uploaded from rich1d5fb5d9472 B
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Discussions 1 thread

  1. 2026-05-13reasoning fix for ggufsopen1 💬#1
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