← back to catalog · registered 2026-08-22 13:56

mradermacher/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2-i1-GGUF

mradermacher Deepseek GGUF second-order 164K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 10,470
  • 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='kxdyh/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2' (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
10K
2K last 30d - stable
Likes
2
Model age
10mo ago
created 2025-12-15
Downloads over time
Now10.7K→from4.8K↑126%
4.5K6.8K9K11.3K4.8K on Dec 17, 202510.7K on Oct 11Dec '25FebAprJunAugOct
Dec 17, 2025 → Oct 11 · 82 snapshots · spans 298 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 · 2K downloads combined

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

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf en base_model:kxdyh/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2 base_model:quantized:kxdyh/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2 endpoints_compatible region:us imatrix conversational

Related

Total size
180 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-15 16:42

Files by quantization

Q6_K 1 file 13.1 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q6_K.gguf 13.1 GB 468fa458 download
Q5_K 2 files 21.4 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q5_K_M.gguf 11.0 GB e3fe076f download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q5_K_S.gguf 10.4 GB c07ad033 download
Q4_K 2 files 18.5 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q4_K_M.gguf 9.66 GB a945dcdf download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q4_K_S.gguf 8.88 GB 99a51147 download
Q4 2 files 17.5 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q4_1.gguf 9.20 GB 7fefafa4 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q4_0.gguf 8.32 GB f5cc3187 download
IQ4 2 files 16.3 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ4_NL.gguf 8.29 GB b5190825 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ4_XS.gguf 7.98 GB 0df8fafa download
Q3_K 3 files 22.4 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q3_K_L.gguf 7.88 GB 26a2a7f3 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q3_K_M.gguf 7.57 GB d3a9bca9 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q3_K_S.gguf 6.98 GB fa22d75a download
IQ3 4 files 27.1 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ3_M.gguf 7.04 GB 19da4d1f download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ3_S.gguf 6.98 GB 30c3e9b5 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ3_XS.gguf 6.64 GB 6421175f download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ3_XXS.gguf 6.49 GB 24de2b30 download
Q2_K 2 files 12.0 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q2_K_S.gguf 6.02 GB 8d194065 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-Q2_K.gguf 6.00 GB 9ea13f25 download
IQ2 4 files 22.3 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ2_M.gguf 5.90 GB f4122926 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ2_S.gguf 5.60 GB 9ff159f6 download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ2_XS.gguf 5.56 GB 88fd36ef download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ2_XXS.gguf 5.26 GB 9c00c4bb download
IQ1 2 files 9.55 GB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ1_M.gguf 4.89 GB 49525c8c download
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.i1-IQ1_S.gguf 4.66 GB f8ed7fb8 download
Auxiliary files 3 files 37.6 MB
DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2.imatrix.gguf 37.6 MB ea0d3f49 download
README.md 7.26 KB 664dd014 download
.gitattributes 3.81 KB c040f73d download

README current version from Hugging Face


base_model: kxdyh/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/kxdyh/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2

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

static quants are available at https://huggingface.co/mradermacher/DeepSeek-V2-Lite-Instruct-Abliterated-15-1.2-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 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 5.1 for the desperate
GGUF i1-IQ1_M 5.3 mostly desperate
GGUF i1-IQ2_XXS 5.7
GGUF i1-IQ2_XS 6.1
GGUF i1-IQ2_S 6.1
GGUF i1-IQ2_M 6.4
GGUF i1-Q2_K 6.5 IQ3_XXS probably better
GGUF i1-Q2_K_S 6.6 very low quality
GGUF i1-IQ3_XXS 7.1 lower quality
GGUF i1-IQ3_XS 7.2
GGUF i1-IQ3_S 7.6 beats Q3_K*
GGUF i1-Q3_K_S 7.6 IQ3_XS probably better
GGUF i1-IQ3_M 7.7
GGUF i1-Q3_K_M 8.2 IQ3_S probably better
GGUF i1-Q3_K_L 8.6 IQ3_M probably better
GGUF i1-IQ4_XS 8.7
GGUF i1-IQ4_NL 9.0 prefer IQ4_XS
GGUF i1-Q4_0 9.0 fast, low quality
GGUF i1-Q4_K_S 9.6 optimal size/speed/quality
GGUF i1-Q4_1 10.0
GGUF i1-Q4_K_M 10.5 fast, recommended
GGUF i1-Q5_K_S 11.2
GGUF i1-Q5_K_M 12.0
GGUF i1-Q6_K 14.2 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. 2025-12-15auto-patch README.md937c4797.3 KB
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  2. 2025-12-15auto-patch README.md1a0314e6.3 KB
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  3. 2025-12-15auto-patch README.mdad74df65.3 KB
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  4. 2025-12-15auto-patch README.mda883a8b2.5 KB
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  5. 2025-12-15uploaded from marco7b17960496 B
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