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

mradermacher/Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated-i1-GGUF

mradermacher Kimi 48B GGUF MoE second-order 1.0M 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-Kimi-Linear-48B-A3B-Instruct-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 23,957
  • author_summary 3324 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-Kimi-Linear-48B-A3B-Instruct-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
24K
11K last 30d - stable
Likes
6
Model age
7mo ago
created 2026-02-19
Downloads over time
Now25.9K→from7.5K↑246%
6.6K13.6K20.7K27.7K7.5K on Feb 1825.9K on Oct 12FebAprJunAugOct
Feb 18 → Oct 12 · 76 snapshots · spans 236 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 · 12K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
mit
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored en license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
483 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-19 14:00

Files by quantization

Q6_K 1 file 37.6 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q6_K.gguf 37.6 GB ae646841 download
Q5_K 2 files 64.0 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q5_K_M.gguf 32.5 GB 6779c3aa download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q5_K_S.gguf 31.6 GB c107a7a8 download
Q4 2 files 54.7 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q4_1.gguf 28.7 GB 7163c846 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q4_0.gguf 26.0 GB d4b5c531 download
Q4_K 2 files 53.7 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q4_K_M.gguf 27.7 GB c8356bca download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q4_K_S.gguf 26.0 GB 836e3501 download
IQ4 1 file 24.5 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ4_XS.gguf 24.5 GB 32e27884 download
Q3_K 3 files 65.5 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q3_K_L.gguf 23.8 GB e8469dab download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q3_K_M.gguf 21.9 GB 01f8dea3 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q3_K_S.gguf 19.9 GB 410047c0 download
IQ3 4 files 76.4 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ3_M.gguf 20.1 GB afc1f22e download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ3_S.gguf 19.9 GB 8d948561 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ3_XS.gguf 18.8 GB 5f74b073 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ3_XXS.gguf 17.7 GB fe436250 download
Q2_K 2 files 32.3 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q2_K.gguf 16.8 GB d57dc392 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-Q2_K_S.gguf 15.5 GB 78e5900d download
IQ2 4 files 54.3 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ2_M.gguf 15.0 GB c78c6698 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ2_S.gguf 13.7 GB 08a85bf2 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ2_XS.gguf 13.5 GB 15682dc7 download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ2_XXS.gguf 12.1 GB fda92a48 download
IQ1 2 files 19.8 GB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ1_M.gguf 10.4 GB 852b3c7b download
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.i1-IQ1_S.gguf 9.39 GB a4e78300 download
Auxiliary files 3 files 146 MB
Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated.imatrix.gguf 146 MB 3f2d3c4d download
README.md 7.28 KB 86f1d88b download
.gitattributes 3.79 KB 1a241e2e download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Kimi-Linear-48B-A3B-Instruct-abliterated
language:

  • en
    library_name: transformers
    license: mit
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Kimi-Linear-48B-A3B-Instruct-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-Kimi-Linear-48B-A3B-Instruct-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 10.2 for the desperate
GGUF i1-IQ1_M 11.3 mostly desperate
GGUF i1-IQ2_XXS 13.1
GGUF i1-IQ2_XS 14.6
GGUF i1-IQ2_S 14.8
GGUF i1-IQ2_M 16.2
GGUF i1-Q2_K_S 16.8 very low quality
GGUF i1-Q2_K 18.1 IQ3_XXS probably better
GGUF i1-IQ3_XXS 19.1 lower quality
GGUF i1-IQ3_XS 20.3
GGUF i1-IQ3_S 21.4 beats Q3_K*
GGUF i1-Q3_K_S 21.4 IQ3_XS probably better
GGUF i1-IQ3_M 21.6
GGUF i1-Q3_K_M 23.6 IQ3_S probably better
GGUF i1-Q3_K_L 25.6 IQ3_M probably better
GGUF i1-IQ4_XS 26.4
GGUF i1-Q4_0 28.0 fast, low quality
GGUF i1-Q4_K_S 28.1 optimal size/speed/quality
GGUF i1-Q4_K_M 29.8 fast, recommended
GGUF i1-Q4_1 30.9
GGUF i1-Q5_K_S 34.0
GGUF i1-Q5_K_M 35.0
GGUF i1-Q6_K 40.5 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 7 versions

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

  1. 2026-02-19auto-patch README.mdca4bbb77.3 KB
    Loading...
  2. 2026-02-19auto-patch README.mdb1e5fbc6.7 KB
    Loading...
  3. 2026-02-19auto-patch README.md7072bac5.5 KB
    Loading...
  4. 2026-02-19auto-patch README.md1f53fae3.8 KB
    Loading...
  5. 2026-02-19auto-patch README.md9b425cb3.2 KB
    Loading...
  6. 2026-02-19auto-patch README.md0e19edf2.5 KB
    Loading...
  7. 2026-02-19uploaded from nico1f639a6b503 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