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

mradermacher/Qwen35B-Agent-R2-Abliterated-i1-GGUF

mradermacher Qwen GGUF MoE multimodal second-order 262K ctx
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Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 33,410
  • 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='hotdogs/Qwen35B-Agent-R2-Abliterated' (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.

What is a refusal direction? →
Downloads · lifetime
33K
2K last 30d - cooling
Likes
6
Model age
3mo ago
created 2026-07-11

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now34K→from28K↑21%
27.7K30K32.3K34.6K28K on Jul 1534K on Oct 11JulAugSepOct
Jul 15 → Oct 11 · 54 snapshots · spans 88 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

License
agpl-3.0
Languages
en th
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf qwen moe mixture-of-experts agent agent-world tool-use tool-calling reasoning sft abliterated

Related

Total size
345 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-07-12 08:42

Files by quantization

Q6_K 1 file 26.6 GB
Qwen35B-Agent-R2-Abliterated.i1-Q6_K.gguf 26.6 GB 27e856b0 download
Q5_K 2 files 45.4 GB
Qwen35B-Agent-R2-Abliterated.i1-Q5_K_M.gguf 23.0 GB 2dd396c5 download
Qwen35B-Agent-R2-Abliterated.i1-Q5_K_S.gguf 22.3 GB 9e86a4e5 download
Q4 2 files 38.8 GB
Qwen35B-Agent-R2-Abliterated.i1-Q4_1.gguf 20.3 GB 039ffc00 download
Qwen35B-Agent-R2-Abliterated.i1-Q4_0.gguf 18.4 GB 59d0cbd4 download
Q4_K 2 files 38.2 GB
Qwen35B-Agent-R2-Abliterated.i1-Q4_K_M.gguf 19.7 GB f9d6fb18 download
Qwen35B-Agent-R2-Abliterated.i1-Q4_K_S.gguf 18.5 GB 313e4202 download
IQ4 1 file 17.4 GB
Qwen35B-Agent-R2-Abliterated.i1-IQ4_XS.gguf 17.4 GB 916e8195 download
Q3_K 3 files 46.6 GB
Qwen35B-Agent-R2-Abliterated.i1-Q3_K_L.gguf 16.9 GB cba79c04 download
Qwen35B-Agent-R2-Abliterated.i1-Q3_K_M.gguf 15.6 GB a8538c18 download
Qwen35B-Agent-R2-Abliterated.i1-Q3_K_S.gguf 14.1 GB 4fb95e8c download
IQ3 4 files 54.8 GB
Qwen35B-Agent-R2-Abliterated.i1-IQ3_M.gguf 14.4 GB d5169985 download
Qwen35B-Agent-R2-Abliterated.i1-IQ3_S.gguf 14.2 GB e2538464 download
Qwen35B-Agent-R2-Abliterated.i1-IQ3_XS.gguf 13.5 GB df8db40e download
Qwen35B-Agent-R2-Abliterated.i1-IQ3_XXS.gguf 12.7 GB b3836022 download
Q2_K 2 files 23.4 GB
Qwen35B-Agent-R2-Abliterated.i1-Q2_K.gguf 12.1 GB ad5ccdf5 download
Qwen35B-Agent-R2-Abliterated.i1-Q2_K_S.gguf 11.3 GB 5ed8e791 download
IQ2 4 files 39.4 GB
Qwen35B-Agent-R2-Abliterated.i1-IQ2_M.gguf 10.9 GB 8b2ed2d6 download
Qwen35B-Agent-R2-Abliterated.i1-IQ2_S.gguf 9.92 GB fa3bda6a download
Qwen35B-Agent-R2-Abliterated.i1-IQ2_XS.gguf 9.79 GB 790c1b91 download
Qwen35B-Agent-R2-Abliterated.i1-IQ2_XXS.gguf 8.85 GB c857d96f download
IQ1 2 files 14.6 GB
Qwen35B-Agent-R2-Abliterated.i1-IQ1_M.gguf 7.67 GB 91d24e49 download
Qwen35B-Agent-R2-Abliterated.i1-IQ1_S.gguf 6.97 GB b1f8fb95 download
Auxiliary files 3 files 183 MB
Qwen35B-Agent-R2-Abliterated.imatrix.gguf 183 MB 01cd6232 download
README.md 6.63 KB 2a84a54e download
.gitattributes 3.34 KB d419235a download

README current version from Hugging Face


base_model: hotdogs/Qwen35B-Agent-R2-Abliterated
datasets:

  • hotdogs/uka-fable-reasoning
  • 11-47/claude_opus_4.8_max_thinking_5k_v2
  • cx-cmu/agent_trajectories
    language:
  • en
  • th
    library_name: transformers
    license: agpl-3.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • qwen
  • moe
  • mixture-of-experts
  • agent
  • agent-world
  • tool-use
  • tool-calling
  • reasoning
  • sft
  • abliterated
  • uncensored
  • opus
  • fable
  • conversational
  • vision
  • image-text-to-text
  • transformers
  • text-generation
  • thai
  • ykai

About

weighted/imatrix quants of https://huggingface.co/hotdogs/Qwen35B-Agent-R2-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen35B-Agent-R2-Abliterated-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 0.3 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.6 for the desperate
GGUF i1-IQ1_M 8.3 mostly desperate
GGUF i1-IQ2_XXS 9.6
GGUF i1-IQ2_XS 10.6
GGUF i1-IQ2_S 10.8
GGUF i1-IQ2_M 11.8
GGUF i1-Q2_K_S 12.3 very low quality
GGUF i1-Q2_K 13.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 13.7 lower quality
GGUF i1-IQ3_XS 14.6
GGUF i1-Q3_K_S 15.3 IQ3_XS probably better
GGUF i1-IQ3_S 15.4 beats Q3_K*
GGUF i1-IQ3_M 15.5
GGUF i1-Q3_K_M 16.9 IQ3_S probably better
GGUF i1-Q3_K_L 18.2 IQ3_M probably better
GGUF i1-IQ4_XS 18.8
GGUF i1-Q4_0 19.9 fast, low quality
GGUF i1-Q4_K_S 20.0 optimal size/speed/quality
GGUF i1-Q4_K_M 21.3 fast, recommended
GGUF i1-Q4_1 21.9
GGUF i1-Q5_K_S 24.1
GGUF i1-Q5_K_M 24.8
GGUF i1-Q6_K 28.6 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 17 versions

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

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  17. 2026-07-11uploaded from rich12390437482 B
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