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mradermacher/Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated-i1-GGUF

mradermacher Qwen 2B GGUF second-order 262K ctx
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Response includes
  • classification m3
  • files 27
  • hub_downloads_all_time 4,870
  • author_summary 3324 models
  • readme_text full
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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
5K
3K last 30d - active
Likes
1
Model age
7w ago
created 2026-08-19
Downloads over time
Now5.5K→from981↑466%
7532.5K4.3K6K981 on Aug 195.5K 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 edge heretic uncensored

Related

Total size
24.0 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-19 06:48

Files by quantization

Q6_K 1 file 1.45 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q6_K.gguf 1.45 GB 23846854 download
Q5_K 2 files 2.59 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q5_K_M.gguf 1.31 GB f53b5376 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q5_K_S.gguf 1.28 GB bedeb6c2 download
Q4 2 files 2.32 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_1.gguf 1.20 GB 8cde5300 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_0.gguf 1.12 GB 14a0333e download
Q4_K 2 files 2.32 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_K_M.gguf 1.19 GB 1406d264 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q4_K_S.gguf 1.13 GB d0471148 download
IQ4 2 files 2.26 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ4_NL.gguf 1.15 GB 2b6ff414 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ4_XS.gguf 1.11 GB e284b6a5 download
Q3_K 3 files 3.06 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_L.gguf 1.08 GB 46729467 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_M.gguf 1.02 GB 531fd18c download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q3_K_S.gguf 973 MB 7443b13f download
IQ3 4 files 3.79 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_M.gguf 1010 MB 22776d2a download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_S.gguf 1002 MB 068b4a23 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_XS.gguf 980 MB 7b16826e download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ3_XXS.gguf 885 MB 6b95b3c2 download
Q2_K 2 files 1.78 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q2_K.gguf 924 MB 2bb7b6cb download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-Q2_K_S.gguf 900 MB cb91474b download
IQ2 4 files 3.09 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_M.gguf 826 MB 674b32e8 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_S.gguf 794 MB 7e2957da download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_XS.gguf 787 MB 56702239 download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ2_XXS.gguf 754 MB 61738814 download
IQ1 2 files 1.37 GB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ1_M.gguf 714 MB 499eff3e download
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.i1-IQ1_S.gguf 689 MB 293d3b65 download
Auxiliary files 3 files 1.87 MB
Qwen3.5-2B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated.imatrix.gguf 1.86 MB 0431c422 download
README.md 8.20 KB 1cd6b98f download
.gitattributes 4.08 KB cc58018f download

README current version from Hugging Face


base_model: insraq/Qwen3.5-2B-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
  • edge
  • heretic
  • uncensored
  • decensored
  • abliterated
  • reproducible

About

weighted/imatrix quants of https://huggingface.co/insraq/Qwen3.5-2B-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/Qwen3.5-2B-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 0.8 for the desperate
GGUF i1-IQ1_M 0.8 mostly desperate
GGUF i1-IQ2_XXS 0.9
GGUF i1-IQ2_XS 0.9
GGUF i1-IQ2_S 0.9
GGUF i1-IQ2_M 1.0
GGUF i1-IQ3_XXS 1.0 lower quality
GGUF i1-Q2_K_S 1.0 very low quality
GGUF i1-Q2_K 1.1 IQ3_XXS probably better
GGUF i1-Q3_K_S 1.1 IQ3_XS probably better
GGUF i1-IQ3_XS 1.1
GGUF i1-IQ3_S 1.2 beats Q3_K*
GGUF i1-IQ3_M 1.2
GGUF i1-Q3_K_M 1.2 IQ3_S probably better
GGUF i1-Q3_K_L 1.3 IQ3_M probably better
GGUF i1-IQ4_XS 1.3
GGUF i1-Q4_0 1.3 fast, low quality
GGUF i1-Q4_K_S 1.3 optimal size/speed/quality
GGUF i1-IQ4_NL 1.3 prefer IQ4_XS
GGUF i1-Q4_K_M 1.4 fast, recommended
GGUF i1-Q4_1 1.4
GGUF i1-Q5_K_S 1.5
GGUF i1-Q5_K_M 1.5
GGUF i1-Q6_K 1.7 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.mdbc94c868.2 KB
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  2. 2026-08-19auto-patch README.md12cc5f92.9 KB
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  3. 2026-08-19uploaded from backdc86f03509 B
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