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Qwen3 4B Abliterated GGUF

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

Sourcehuggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/tree/464211e8512b484f43fa720b2c57b78544ccb199
KindOtherBase modelmlabonne/Qwen3-4B-abliteratedVersionRevision 464211e

Model source

Kind
Other
File size
1.55–7.50 GB
Base model
mlabonne/Qwen3-4B-abliterated
Version
vRevision 464211e
Updated
Sep 28, 2026
Downloads
3K
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/mlabonne/Qwen3-4B-abliterated

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-4B-abliterated-i1-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)

LinkTypeSize/GBNotes
GGUFQ2_K1.8
GGUFQ3_K_S2.0
GGUFQ3_K_M2.2lower quality
GGUFQ3_K_L2.3
GGUFIQ4_XS2.4
GGUFQ4_K_S2.5fast, recommended
GGUFQ4_K_M2.6fast, recommended
GGUFQ5_K_S2.9
GGUFQ5_K_M3.0
GGUFQ6_K3.4very good quality
GGUFQ8_04.4fast, best quality
GGUFf168.216 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.

Sources

1 source
Hugging FacePrimaryVersion 464211e8512b484f43fa720b2c57b78544ccb199
huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/tree/464211e8512b484f43fa720b2c57b78544ccb199

Verified Sep 28

Model artifacts

12 artifacts

Qwen3-4B-abliterated.f16.gguf

gguf · 7.50 GB · SHA-256 6fa140f1f981…2ed0 · Hugging Face

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Qwen3-4B-abliterated.IQ4_XS.gguf

gguf · 2.13 GB · SHA-256 94a7778c1ae7…aacd · Hugging Face

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Qwen3-4B-abliterated.Q2_K.gguf

gguf · 1.55 GB · SHA-256 834ddf233c95…c9d0 · Hugging Face

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Qwen3-4B-abliterated.Q3_K_L.gguf

gguf · 2.09 GB · SHA-256 fbad0268b243…5c33 · Hugging Face

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Qwen3-4B-abliterated.Q3_K_M.gguf

gguf · 1.93 GB · SHA-256 62ca1714535d…2822 · Hugging Face

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Qwen3-4B-abliterated.Q3_K_S.gguf

gguf · 1.76 GB · SHA-256 368b9ee74779…cbd7 · Hugging Face

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Qwen3-4B-abliterated.Q4_K_M.gguf

gguf · 2.33 GB · SHA-256 655eb731037f…1302 · Hugging Face

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Qwen3-4B-abliterated.Q4_K_S.gguf

gguf · 2.22 GB · SHA-256 fce7cf2b64d8…9ff5 · Hugging Face

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Qwen3-4B-abliterated.Q5_K_M.gguf

gguf · 2.69 GB · SHA-256 054fe47a3730…c307 · Hugging Face

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Qwen3-4B-abliterated.Q5_K_S.gguf

gguf · 2.63 GB · SHA-256 423f6c0f24b5…9d9a · Hugging Face

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Qwen3-4B-abliterated.Q6_K.gguf

gguf · 3.08 GB · SHA-256 2c0a432ec0a2…c0d3 · Hugging Face

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Qwen3-4B-abliterated.Q8_0.gguf

gguf · 3.99 GB · SHA-256 ed5b132d86ad…a9a6 · Hugging Face

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Source excerpts

2 excerpts
ReadmeSep 28huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF

--- base_model: mlabonne/Qwen3-4B-abliterated language: - en library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - abliteration - abliterated --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mlabonne/Qwen3-4B-abliterated <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-4B-abliterated-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-4B-abliterated-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q2_K.gguf) | Q2_K | 1.8 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_S.gguf) | Q3_K_S | 2.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q3_K_L.gguf) | Q3_K_L | 2.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.IQ4_XS.gguf) | IQ4_XS | 2.4 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF/resolve/main/Qwen3-4B-abliterated.Q5_K_S.gguf) | Q5_K_S | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-abliterated...

NoteSep 28huggingface.co/mradermacher/Qwen3-4B-abliterated-GGUF

Source context: 3044 downloads · 3 likes · Library transformers · Repo mradermacher/Qwen3-4B-abliterated-GGUF