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

mradermacher/Qwen3-Next-80B-A3B-Instruct-abliterated-i1-GGUF

mradermacher Qwen 80B GGUF MoE 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%2FQwen3-Next-80B-A3B-Instruct-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 17,301
  • 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 direct removal 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='Synadapt/Qwen3-Next-80B-A3B-Instruct-abliterated' (base has 'abliterated' marker, assume M1 default)
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
17K
762 last 30d - cooling
Likes
0
Model age
9mo ago
created 2025-12-22
Downloads over time
Now17.6K→from6.6K↑166%
6.1K10.3K14.5K18.7K6.6K on Dec 24, 202517.6K on Oct 11Dec '25FebAprJunAugOct
Dec 24, 2025 → Oct 11 · 81 snapshots · spans 291 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
mit
Languages
en zh
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf abliterated uncensored chat en zh license:mit endpoints_compatible region:us imatrix conversational

Related

Total size
783 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-12-23 04:00

Files by quantization

Q6_K 1 file 61.0 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q6_K.gguf 61.0 GB c7689975 download
Q5_K 2 files 104 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q5_K_M.gguf 52.8 GB 53543f24 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q5_K_S.gguf 51.2 GB 0487a760 download
Q4 2 files 88.8 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_1.gguf 46.6 GB f79ae27e download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_0.gguf 42.2 GB 7d1daf25 download
Q4_K 2 files 87.4 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_K_M.gguf 45.1 GB a3be7b17 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q4_K_S.gguf 42.4 GB 380e07ca download
IQ4 1 file 39.7 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ4_XS.gguf 39.7 GB d74ea37a download
Q3_K 3 files 106 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_L.gguf 38.4 GB 861e7018 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_M.gguf 35.6 GB d3573f8b download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q3_K_S.gguf 32.2 GB 92789ac9 download
IQ3 4 files 124 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_M.gguf 32.6 GB f825d736 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_S.gguf 32.2 GB 46339b7f download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_XS.gguf 30.5 GB a81526c7 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ3_XXS.gguf 28.7 GB 6f8360d7 download
Q2_K 2 files 52.5 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q2_K.gguf 27.1 GB e443a625 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-Q2_K_S.gguf 25.4 GB 773f8bef download
IQ2 4 files 87.7 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_M.gguf 24.3 GB b52e15c3 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_S.gguf 22.0 GB 1fab1440 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_XS.gguf 21.8 GB 5a52be79 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ2_XXS.gguf 19.6 GB 97e126f8 download
IQ1 2 files 31.8 GB
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ1_M.gguf 16.8 GB 6cf6fa41 download
Qwen3-Next-80B-A3B-Instruct-abliterated.i1-IQ1_S.gguf 15.1 GB 386d16e3 download
Auxiliary files 3 files 436 MB
Qwen3-Next-80B-A3B-Instruct-abliterated.imatrix.gguf 436 MB 238ec5d7 download
README.md 6.89 KB 00f91501 download
.gitattributes 3.60 KB 978408ab download

README current version from Hugging Face


base_model: Synadapt/Qwen3-Next-80B-A3B-Instruct-abliterated
language:

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

About

weighted/imatrix quants of https://huggingface.co/Synadapt/Qwen3-Next-80B-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/Qwen3-Next-80B-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 0.6 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 16.3 for the desperate
GGUF i1-IQ1_M 18.1 mostly desperate
GGUF i1-IQ2_XXS 21.1
GGUF i1-IQ2_XS 23.5
GGUF i1-IQ2_S 23.7
GGUF i1-IQ2_M 26.2
GGUF i1-Q2_K_S 27.4 very low quality
GGUF i1-Q2_K 29.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 30.9 lower quality
GGUF i1-IQ3_XS 32.8
GGUF i1-Q3_K_S 34.6 IQ3_XS probably better
GGUF i1-IQ3_S 34.6 beats Q3_K*
GGUF i1-IQ3_M 35.1
GGUF i1-Q3_K_M 38.3 IQ3_S probably better
GGUF i1-Q3_K_L 41.3 IQ3_M probably better
GGUF i1-IQ4_XS 42.7
GGUF i1-Q4_0 45.4 fast, low quality
GGUF i1-Q4_K_S 45.6 optimal size/speed/quality
GGUF i1-Q4_K_M 48.5 fast, recommended
GGUF i1-Q4_1 50.1
GGUF i1-Q5_K_S 55.1
GGUF i1-Q5_K_M 56.8
GGUF i1-Q6_K 65.6 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 18 versions

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

  1. 2025-12-23auto-patch README.mdd7df63d6.9 KB
    Loading...
  2. 2025-12-23auto-patch README.md61203f26.5 KB
    Loading...
  3. 2025-12-23auto-patch README.md19e75b86.3 KB
    Loading...
  4. 2025-12-23auto-patch README.md248d4946 KB
    Loading...
  5. 2025-12-22auto-patch README.md861463a5.6 KB
    Loading...
  6. 2025-12-22auto-patch README.mdc8d242a5.4 KB
    Loading...
  7. 2025-12-22auto-patch README.md4e5ffb25.2 KB
    Loading...
  8. 2025-12-22auto-patch README.mdb973fa65 KB
    Loading...
  9. 2025-12-22auto-patch README.mdb7861394.8 KB
    Loading...
  10. 2025-12-22auto-patch README.mda1d52e14.6 KB
    Loading...
  11. 2025-12-22auto-patch README.mdf8db8724.2 KB
    Loading...
  12. 2025-12-22auto-patch README.md0fa40043.9 KB
    Loading...
  13. 2025-12-22auto-patch README.md2ab1d213.7 KB
    Loading...
  14. 2025-12-22auto-patch README.md9932a963.5 KB
    Loading...
  15. 2025-12-22auto-patch README.mded0b5a13.3 KB
    Loading...
  16. 2025-12-22auto-patch README.md6a987242.9 KB
    Loading...
  17. 2025-12-22auto-patch README.md5be95362.7 KB
    Loading...
  18. 2025-12-22uploaded from rich1d16e413494 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