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

mradermacher/Huihui-Ministral-3-8B-Reasoning-2512-abliterated-i1-GGUF

mradermacher 8B GGUF second-order 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mradermacher%2FHuihui-Ministral-3-8B-Reasoning-2512-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 11,457
  • author_summary 3328 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation 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='huihui-ai/Huihui-Ministral-3-8B-Reasoning-2512-abliterated' (base is huihui-ai model (M3))
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
11K
2K last 30d - stable
Likes
1
Model age
10mo ago
created 2025-12-05
Downloads over time
Now12K→from4.1K↑194%
3.7K6.7K9.8K12.8K4.1K on Dec 10, 202512K on Oct 12Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 12 · 84 snapshots · spans 306 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 · 3K 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 fr es de it pt nl zh ja ko ar
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf mistral-common abliterated uncensored en fr es de it pt nl

Related

Total size
92.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-08-26 10:06

Files by quantization

Q6_K 1 file 6.49 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q6_K.gguf 6.49 GB 70a929d3 download
Q5_K 2 files 11.2 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q5_K_M.gguf 5.64 GB a946d8e4 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q5_K_S.gguf 5.51 GB ce0617ce download
Q4 2 files 9.65 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q4_1.gguf 5.05 GB 8d3a447d download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q4_0.gguf 4.60 GB 5778626c download
Q4_K 2 files 9.46 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q4_K_M.gguf 4.84 GB 7ae77b86 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q4_K_S.gguf 4.61 GB cd4ffdde download
IQ4 2 files 8.98 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ4_NL.gguf 4.60 GB 6daed90f download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ4_XS.gguf 4.37 GB 799b9ee4 download
Q3_K 3 files 11.8 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q3_K_L.gguf 4.25 GB 986fe4fc download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q3_K_M.gguf 3.95 GB 5afe9f2f download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q3_K_S.gguf 3.60 GB 3b2e5914 download
IQ3 4 files 14.0 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ3_M.gguf 3.72 GB 84156f5f download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ3_S.gguf 3.62 GB 404d2dc2 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ3_XS.gguf 3.46 GB be63f706 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ3_XXS.gguf 3.22 GB 692f8253 download
Q2_K 2 files 6.05 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q2_K.gguf 3.12 GB 06016257 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-Q2_K_S.gguf 2.93 GB 0182310a download
IQ2 4 files 10.5 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ2_M.gguf 2.89 GB d68baf18 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ2_S.gguf 2.71 GB ae7e0901 download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ2_XS.gguf 2.56 GB 5c1e759e download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ2_XXS.gguf 2.35 GB c7c94496 download
IQ1 2 files 4.09 GB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ1_M.gguf 2.12 GB 9b72785f download
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.i1-IQ1_S.gguf 1.98 GB 8566e2a0 download
Auxiliary files 3 files 5.09 MB
Huihui-Ministral-3-8B-Reasoning-2512-abliterated.imatrix.gguf 5.08 MB 034a22e2 download
README.md 7.77 KB 79351cb2 download
.gitattributes 3.91 KB 24d7d8c1 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Ministral-3-8B-Reasoning-2512-abliterated
language:

  • en
  • fr
  • es
  • de
  • it
  • pt
  • nl
  • zh
  • ja
  • ko
  • ar
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • mistral-common
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Ministral-3-8B-Reasoning-2512-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Ministral-3-8B-Reasoning-2512-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.5 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.6 lower quality
GGUF i1-IQ3_XS 3.8
GGUF i1-Q3_K_S 4.0 IQ3_XS probably better
GGUF i1-IQ3_S 4.0 beats Q3_K*
GGUF i1-IQ3_M 4.1
GGUF i1-Q3_K_M 4.3 IQ3_S probably better
GGUF i1-Q3_K_L 4.7 IQ3_M probably better
GGUF i1-IQ4_XS 4.8
GGUF i1-Q4_0 5.0 fast, low quality
GGUF i1-IQ4_NL 5.0 prefer IQ4_XS
GGUF i1-Q4_K_S 5.1 optimal size/speed/quality
GGUF i1-Q4_K_M 5.3 fast, recommended
GGUF i1-Q4_1 5.5
GGUF i1-Q5_K_S 6.0
GGUF i1-Q5_K_M 6.2
GGUF i1-Q6_K 7.1 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. 2026-08-26auto-patch README.mdeaab9157.6 KB
    Loading...
  2. 2025-12-05auto-patch README.md88ac5f47.8 KB
    Loading...
  3. 2025-12-05uploaded from nico1445f25e504 B
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration