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mradermacher/DistilQwen3-1.7B-uncensored-GGUF

mradermacher 1.7B GGUF second-order 41K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FDistilQwen3-1.7B-uncensored-GGUF"
Response includes
  • classification m8
  • files 14
  • hub_downloads_all_time 1,189
  • 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='reaperdoesntknow/DistilQwen3-1.7B-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
1K
292 last 30d - stable
Likes
0
Model age
6mo ago
created 2026-03-26
Downloads over time
Now1.3K→from399↑222%
3556951K1.4K399 on Mar 251.3K on Oct 11MarAprMayJunJulAugSepOct
Mar 25 → Oct 11 · 68 snapshots · spans 200 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.

Metadata

Languages
en
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
transformers gguf trl sft convergentintel edge distillation knowledge-distillation en base_model:reaperdoesntknow/DistilQwen3-1.7B-uncensored base_model:quantized:reaperdoesntknow/DistilQwen3-1.7B-uncensored endpoints_compatible

Related

Total size
17.3 GB
Files
14
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-03-31 10:42

Files by quantization

F16 1 file 3.79 GB
DistilQwen3-1.7B-uncensored.f16.gguf 3.79 GB bf1c9a21 download
Q8_0 1 file 2.02 GB
DistilQwen3-1.7B-uncensored.Q8_0.gguf 2.02 GB 2d562308 download
Q6_K 1 file 1.56 GB
DistilQwen3-1.7B-uncensored.Q6_K.gguf 1.56 GB 01f0d648 download
Q5_K 2 files 2.72 GB
DistilQwen3-1.7B-uncensored.Q5_K_M.gguf 1.37 GB 92261d42 download
DistilQwen3-1.7B-uncensored.Q5_K_S.gguf 1.35 GB 0ee21338 download
Q4_K 2 files 2.34 GB
DistilQwen3-1.7B-uncensored.Q4_K_M.gguf 1.19 GB c8c58f48 download
DistilQwen3-1.7B-uncensored.Q4_K_S.gguf 1.15 GB d26c908d download
IQ4 1 file 1.10 GB
DistilQwen3-1.7B-uncensored.IQ4_XS.gguf 1.10 GB 7641f6b9 download
Q3_K 3 files 2.99 GB
DistilQwen3-1.7B-uncensored.Q3_K_L.gguf 1.06 GB 0cd40959 download
DistilQwen3-1.7B-uncensored.Q3_K_M.gguf 1024 MB b01aef3f download
DistilQwen3-1.7B-uncensored.Q3_K_S.gguf 955 MB a9339cfb download
Q2_K 1 file 839 MB
DistilQwen3-1.7B-uncensored.Q2_K.gguf 839 MB 19fe0605 download
Auxiliary files 2 files 6.29 KB
README.md 3.93 KB 42bd6289 download
.gitattributes 2.37 KB c490db7c download

README current version from Hugging Face


base_model: reaperdoesntknow/DistilQwen3-1.7B-uncensored
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • trl
  • sft
  • convergentintel
  • edge
  • distillation
  • knowledge-distillation

About

static quants of https://huggingface.co/reaperdoesntknow/DistilQwen3-1.7B-uncensored

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 1.0
GGUF Q3_K_S 1.1
GGUF Q3_K_M 1.2 lower quality
GGUF Q3_K_L 1.2
GGUF IQ4_XS 1.3
GGUF Q4_K_S 1.3 fast, recommended
GGUF Q4_K_M 1.4 fast, recommended
GGUF Q5_K_S 1.5
GGUF Q5_K_M 1.6
GGUF Q6_K 1.8 very good quality
GGUF Q8_0 2.3 fast, best quality
GGUF f16 4.2 16 bpw, overkill

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.

README history 3 versions

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

  1. 2026-03-31auto-patch README.md558af3a3.9 KB
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  2. 2026-03-26auto-patch README.mde559c893.9 KB
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  3. 2026-03-26uploaded from leiae966ee3387 B
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