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

mradermacher/Huihui-Qwen3-0.6B-abliterated-v2-i1-GGUF

mradermacher Qwen 600M GGUF second-order 41K 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-Qwen3-0.6B-abliterated-v2-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 7,732
  • 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-Qwen3-0.6B-abliterated-v2' (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
8K
547 last 30d - cooling
Likes
0
Model age
15mo ago
created 2025-06-19
Downloads over time
Now7.9K→from609↑1,190%
2473K5.8K8.6K609 on Jul 9, 20257.9K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 9, 2025 → Oct 11 · 105 snapshots · spans 459 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
apache-2.0
Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf chat abliterated uncensored en base_model:huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2 base_model:quantized:huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2 license:apache-2.0 endpoints_compatible region:us imatrix

Related

Total size
7.43 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 00:46

Files by quantization

Q6_K 1 file 472 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q6_K.gguf 472 MB 8eb4dd0b download
Q5_K 2 files 840 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q5_K_M.gguf 424 MB 9b08d1ce download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q5_K_S.gguf 416 MB 301f761a download
Q4 2 files 755 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q4_1.gguf 390 MB bba5603e download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q4_0.gguf 364 MB 9e6ea57d download
Q4_K 2 files 744 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q4_K_M.gguf 378 MB 2b0e76d4 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q4_K_S.gguf 366 MB e9566410 download
IQ4 2 files 715 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ4_NL.gguf 364 MB 28884cc5 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ4_XS.gguf 351 MB cfcc6945 download
Q3_K 3 files 991 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q3_K_L.gguf 351 MB 98f898d4 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q3_K_M.gguf 331 MB 51fb2846 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q3_K_S.gguf 308 MB 56a217b0 download
IQ3 4 files 1.16 GB
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ3_M.gguf 320 MB e72df127 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ3_S.gguf 308 MB b3fe9ab3 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ3_XS.gguf 298 MB 612e1d6d download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ3_XXS.gguf 266 MB 98ba888a download
Q2_K 2 files 550 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q2_K.gguf 283 MB 098b929d download
Huihui-Qwen3-0.6B-abliterated-v2.i1-Q2_K_S.gguf 268 MB bead3c3b download
IQ2 4 files 945 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ2_M.gguf 253 MB 62851662 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ2_S.gguf 242 MB 97bdb45d download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ2_XS.gguf 231 MB efde95b6 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ2_XXS.gguf 219 MB b15de296 download
IQ1 2 files 404 MB
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ1_M.gguf 206 MB 0b384740 download
Huihui-Qwen3-0.6B-abliterated-v2.i1-IQ1_S.gguf 198 MB d53bbcf3 download
Auxiliary files 3 files 1.11 MB
imatrix.dat 1.10 MB f360c415 download
README.md 6.33 KB dcd5f062 download
.gitattributes 3.49 KB be2fe0e5 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2
language:


About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2

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

static quants are available at https://huggingface.co/mradermacher/Huihui-Qwen3-0.6B-abliterated-v2-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 i1-IQ1_S 0.3 for the desperate
GGUF i1-IQ1_M 0.3 mostly desperate
GGUF i1-IQ2_XXS 0.3
GGUF i1-IQ2_XS 0.3
GGUF i1-IQ2_S 0.4
GGUF i1-IQ2_M 0.4
GGUF i1-IQ3_XXS 0.4 lower quality
GGUF i1-Q2_K_S 0.4 very low quality
GGUF i1-Q2_K 0.4 IQ3_XXS probably better
GGUF i1-IQ3_XS 0.4
GGUF i1-IQ3_S 0.4 beats Q3_K*
GGUF i1-Q3_K_S 0.4 IQ3_XS probably better
GGUF i1-IQ3_M 0.4
GGUF i1-Q3_K_M 0.4 IQ3_S probably better
GGUF i1-IQ4_XS 0.5
GGUF i1-Q3_K_L 0.5 IQ3_M probably better
GGUF i1-IQ4_NL 0.5 prefer IQ4_XS
GGUF i1-Q4_0 0.5 fast, low quality
GGUF i1-Q4_K_S 0.5 optimal size/speed/quality
GGUF i1-Q4_K_M 0.5 fast, recommended
GGUF i1-Q4_1 0.5
GGUF i1-Q5_K_S 0.5
GGUF i1-Q5_K_M 0.5
GGUF i1-Q6_K 0.6 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 4 versions

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

  1. 2025-07-11auto-patch README.mde5fcdbb6.3 KB
    Loading...
  2. 2025-07-10auto-patch README.md7d29bb26.3 KB
    Loading...
  3. 2025-06-19auto-patch README.md156462d6.1 KB
    Loading...
  4. 2025-06-19uploaded from nico18a2f777250 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