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

mradermacher/Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated-i1-GGUF

mradermacher Kimi 35B 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-REAP-35B-A3B-Instruct-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 10,612
  • 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-Kimi-Linear-REAP-35B-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
11K
971 last 30d - cooling
Likes
2
Model age
7mo ago
created 2026-02-15
Downloads over time
Now11K→from7K↑57%
6.8K8.3K9.8K11.4K7K on Feb 1811K on Oct 12FebAprJunAugOct
Feb 18 → Oct 12 · 74 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 · 1K 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
346 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-02-16 00:04

Files by quantization

Q6_K 1 file 26.9 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q6_K.gguf 26.9 GB 3bac6fec download
Q5_K 2 files 45.8 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q5_K_M.gguf 23.2 GB aea4c1c3 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q5_K_S.gguf 22.6 GB 72ab517f download
Q4 2 files 39.2 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q4_1.gguf 20.6 GB c692def0 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q4_0.gguf 18.6 GB e019442e download
Q4_K 2 files 38.5 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q4_K_M.gguf 19.8 GB 719320ca download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q4_K_S.gguf 18.7 GB ee8d19ee download
IQ4 1 file 17.5 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ4_XS.gguf 17.5 GB 9999cdb9 download
Q3_K 3 files 47.0 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q3_K_L.gguf 17.0 GB 58e56d84 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q3_K_M.gguf 15.7 GB 4a66e64d download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q3_K_S.gguf 14.2 GB 6c49b7cf download
IQ3 4 files 54.8 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ3_M.gguf 14.4 GB 4bf228dd download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ3_S.gguf 14.2 GB c28afc20 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ3_XS.gguf 13.5 GB 56b4b66d download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ3_XXS.gguf 12.7 GB b7401bdf download
Q2_K 2 files 23.2 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q2_K.gguf 12.1 GB a119ed42 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-Q2_K_S.gguf 11.2 GB 11e0806c download
IQ2 4 files 39.1 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ2_M.gguf 10.8 GB cfbe1b87 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ2_S.gguf 9.84 GB 44446e28 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ2_XS.gguf 9.73 GB ae70a648 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ2_XXS.gguf 8.75 GB f4543bcf download
IQ1 2 files 14.3 GB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ1_M.gguf 7.54 GB 7dde79c0 download
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.i1-IQ1_S.gguf 6.81 GB 8bed4432 download
Auxiliary files 3 files 104 MB
Huihui-Kimi-Linear-REAP-35B-A3B-Instruct-abliterated.imatrix.gguf 104 MB f3b3f5f2 download
README.md 7.54 KB 235e2b95 download
.gitattributes 3.91 KB 74ba62fd download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Kimi-Linear-REAP-35B-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-REAP-35B-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-REAP-35B-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 0.2 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.4 for the desperate
GGUF i1-IQ1_M 8.2 mostly desperate
GGUF i1-IQ2_XXS 9.5
GGUF i1-IQ2_XS 10.6
GGUF i1-IQ2_S 10.7
GGUF i1-IQ2_M 11.7
GGUF i1-Q2_K_S 12.1 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-IQ3_S 15.4 beats Q3_K*
GGUF i1-Q3_K_S 15.4 IQ3_XS probably better
GGUF i1-IQ3_M 15.6
GGUF i1-Q3_K_M 16.9 IQ3_S probably better
GGUF i1-Q3_K_L 18.4 IQ3_M probably better
GGUF i1-IQ4_XS 18.9
GGUF i1-Q4_0 20.1 fast, low quality
GGUF i1-Q4_K_S 20.1 optimal size/speed/quality
GGUF i1-Q4_K_M 21.4 fast, recommended
GGUF i1-Q4_1 22.2
GGUF i1-Q5_K_S 24.4
GGUF i1-Q5_K_M 25.0
GGUF i1-Q6_K 29.0 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. 2026-02-16auto-patch README.md09559ed7.5 KB
    Loading...
  2. 2026-02-15auto-patch README.md2fc0f387.3 KB
    Loading...
  3. 2026-02-15auto-patch README.md70d0f4c6.1 KB
    Loading...
  4. 2026-02-15auto-patch README.md82d82bd5.2 KB
    Loading...
  5. 2026-02-15auto-patch README.mdd5205404.1 KB
    Loading...
  6. 2026-02-15auto-patch README.mdebdae453 KB
    Loading...
  7. 2026-02-15uploaded from marco4f4e27a508 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