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mradermacher/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated-i1-GGUF

mradermacher Qwen 4B GGUF second-order 262K ctx
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  • classification m3
  • files 27
  • hub_downloads_all_time 13,110
  • author_summary 3324 models
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Abliteration classifier · v1.0.0
M3
Primary method

Layer-wise ablation

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • 'heretic' in model name (Heretic-produced)
  • Heretic uses layer-wise optimization (M3) with underlying direction removal (M1)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
HIGH
Why we say so
name contains 'heretic'; Heretic default extraction is difference-of-means (Arditi 2024)
Downloads · lifetime
13K
6K last 30d - stable
Likes
8
Model age
7w ago
created 2026-08-19
Downloads over time
Now14.6K→from1.3K↑1,041%
6145.7K10.8K16K1.3K on Aug 1914.6K on Oct 11AugSepOct
Aug 19 → Oct 11 · 48 snapshots · spans 53 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 · 7K 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
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf empero-ai qwen3.5 qwen3.8 distillation reasoning function-calling sft heretic uncensored decensored

Related

Total size
49.7 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-19 17:59

Files by quantization

Q6_K 1 file 3.23 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q6_K.gguf 3.23 GB c5034b58 download
Q5_K 2 files 5.65 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q5_K_M.gguf 2.86 GB db3d1768 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q5_K_S.gguf 2.78 GB 6b27a2df download
Q4 2 files 4.95 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_1.gguf 2.58 GB 93ef930a download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_0.gguf 2.37 GB a09c0fee download
Q4_K 2 files 4.91 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_K_M.gguf 2.52 GB 10872da5 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_K_S.gguf 2.39 GB fc5b6e06 download
IQ4 2 files 4.77 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ4_NL.gguf 2.43 GB 740e6d8d download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ4_XS.gguf 2.34 GB 10821bd6 download
Q3_K 3 files 6.29 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_L.gguf 2.26 GB 4ff10e2a download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_M.gguf 2.11 GB d3d95c0b download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_S.gguf 1.93 GB 93cd8a22 download
IQ3 4 files 7.72 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_M.gguf 2.01 GB 48e8e88c download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_S.gguf 1.99 GB d02a8f31 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_XS.gguf 1.93 GB 9bbc0a47 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_XXS.gguf 1.77 GB c77f783f download
Q2_K 2 files 3.51 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q2_K.gguf 1.78 GB a03538fb download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q2_K_S.gguf 1.73 GB e049627c download
IQ2 4 files 6.11 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_M.gguf 1.62 GB 6ad15f41 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_S.gguf 1.54 GB 0e7f3488 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_XS.gguf 1.52 GB 7c5252ea download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_XXS.gguf 1.43 GB 2232e85c download
IQ1 2 files 2.59 GB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ1_M.gguf 1.33 GB 3d186461 download
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ1_S.gguf 1.27 GB 14641960 download
Auxiliary files 3 files 3.47 MB
Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.imatrix.gguf 3.46 MB 9a8e5f1c download
README.md 8.20 KB 5b66c4c1 download
.gitattributes 4.08 KB 0b36792c download

README current version from Hugging Face


base_model: insraq/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • empero-ai
  • qwen3.5
  • qwen3.8
  • distillation
  • reasoning
  • function-calling
  • sft
  • heretic
  • uncensored
  • decensored
  • abliterated
  • reproducible

About

weighted/imatrix quants of https://huggingface.co/insraq/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated

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

static quants are available at https://huggingface.co/mradermacher/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 1.5 for the desperate
GGUF i1-IQ1_M 1.5 mostly desperate
GGUF i1-IQ2_XXS 1.6
GGUF i1-IQ2_XS 1.7
GGUF i1-IQ2_S 1.8
GGUF i1-IQ2_M 1.8
GGUF i1-Q2_K_S 2.0 very low quality
GGUF i1-IQ3_XXS 2.0 lower quality
GGUF i1-Q2_K 2.0 IQ3_XXS probably better
GGUF i1-Q3_K_S 2.2 IQ3_XS probably better
GGUF i1-IQ3_XS 2.2
GGUF i1-IQ3_S 2.2 beats Q3_K*
GGUF i1-IQ3_M 2.3
GGUF i1-Q3_K_M 2.4 IQ3_S probably better
GGUF i1-Q3_K_L 2.5 IQ3_M probably better
GGUF i1-IQ4_XS 2.6
GGUF i1-Q4_0 2.6 fast, low quality
GGUF i1-Q4_K_S 2.7 optimal size/speed/quality
GGUF i1-IQ4_NL 2.7 prefer IQ4_XS
GGUF i1-Q4_K_M 2.8 fast, recommended
GGUF i1-Q4_1 2.9
GGUF i1-Q5_K_S 3.1
GGUF i1-Q5_K_M 3.2
GGUF i1-Q6_K 3.6 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 3 versions

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

  1. 2026-08-19auto-patch README.md89e73798.2 KB
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  2. 2026-08-19auto-patch README.md97bcf652.9 KB
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  3. 2026-08-19uploaded from leia99bbeba509 B
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