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

mradermacher/Qwen3-Next-384E-Abliterated-Instruct-i1-GGUF

mradermacher Qwen 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%2FQwen3-Next-384E-Abliterated-Instruct-i1-GGUF"
Response includes
  • classification m8
  • files 26
  • hub_downloads_all_time 12,969
  • 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='blascotobasco/Qwen3-Next-384E-Abliterated-Instruct' (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
13K
939 last 30d - cooling
Likes
0
Model age
8mo ago
created 2026-01-19
Downloads over time
Now13.4K→from7.6K↑77%
7.3K9.5K11.7K14K7.6K on Jan 2113.4K on Oct 11JanMarMayJulSep
Jan 21 → Oct 11 · 77 snapshots · spans 263 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 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 base_model:blascotobasco/Qwen3-Next-384E-Abliterated-Instruct base_model:quantized:blascotobasco/Qwen3-Next-384E-Abliterated-Instruct license:mit endpoints_compatible region:us

Related

Total size
594 GB
Files
26
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2026-01-21 00:42

Files by quantization

Q6_K 1 file 46.2 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q6_K.gguf 46.2 GB e6eeecd7 download
Q5_K 2 files 78.9 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q5_K_M.gguf 40.1 GB 91991a4b download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q5_K_S.gguf 38.8 GB 09105512 download
Q4 2 files 67.3 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q4_1.gguf 35.3 GB 7c9a6e7c download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q4_0.gguf 32.0 GB 08531785 download
Q4_K 2 files 66.3 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q4_K_M.gguf 34.2 GB 2fbf844b download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q4_K_S.gguf 32.1 GB 668469f4 download
IQ4 1 file 30.1 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ4_XS.gguf 30.1 GB 25f0ea08 download
Q3_K 3 files 80.6 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q3_K_L.gguf 29.1 GB 63687e07 download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q3_K_M.gguf 27.0 GB 4d9622f5 download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q3_K_S.gguf 24.4 GB c7a83d59 download
IQ3 4 files 94.0 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ3_M.gguf 24.8 GB 6dcbe270 download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ3_S.gguf 24.4 GB e5b3291b download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ3_XS.gguf 23.1 GB 6d1de2d2 download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ3_XXS.gguf 21.7 GB b791ea20 download
Q2_K 2 files 39.8 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-Q2_K.gguf 20.6 GB 2b171111 download
Qwen3-Next-384E-Abliterated-Instruct.i1-Q2_K_S.gguf 19.3 GB c71f3d28 download
IQ2 4 files 66.5 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ2_M.gguf 18.4 GB 7eb44a42 download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ2_S.gguf 16.7 GB cbe885bb download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ2_XS.gguf 16.6 GB 622aa378 download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ2_XXS.gguf 14.9 GB 1825978a download
IQ1 2 files 24.2 GB
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ1_M.gguf 12.7 GB c0004afc download
Qwen3-Next-384E-Abliterated-Instruct.i1-IQ1_S.gguf 11.5 GB efbd2ff8 download
Auxiliary files 3 files 328 MB
Qwen3-Next-384E-Abliterated-Instruct.imatrix.gguf 328 MB 464e1acd download
README.md 6.75 KB f85772d7 download
.gitattributes 3.53 KB 86cd0603 download

README current version from Hugging Face


base_model: blascotobasco/Qwen3-Next-384E-Abliterated-Instruct
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/blascotobasco/Qwen3-Next-384E-Abliterated-Instruct

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-384E-Abliterated-Instruct-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 0.4 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 12.4 for the desperate
GGUF i1-IQ1_M 13.8 mostly desperate
GGUF i1-IQ2_XXS 16.1
GGUF i1-IQ2_XS 17.9
GGUF i1-IQ2_S 18.0
GGUF i1-IQ2_M 19.9
GGUF i1-Q2_K_S 20.8 very low quality
GGUF i1-Q2_K 22.2 IQ3_XXS probably better
GGUF i1-IQ3_XXS 23.4 lower quality
GGUF i1-IQ3_XS 24.9
GGUF i1-Q3_K_S 26.3 IQ3_XS probably better
GGUF i1-IQ3_S 26.3 beats Q3_K*
GGUF i1-IQ3_M 26.7
GGUF i1-Q3_K_M 29.1 IQ3_S probably better
GGUF i1-Q3_K_L 31.4 IQ3_M probably better
GGUF i1-IQ4_XS 32.4
GGUF i1-Q4_0 34.4 fast, low quality
GGUF i1-Q4_K_S 34.6 optimal size/speed/quality
GGUF i1-Q4_K_M 36.8 fast, recommended
GGUF i1-Q4_1 38.0
GGUF i1-Q5_K_S 41.8
GGUF i1-Q5_K_M 43.1
GGUF i1-Q6_K 49.7 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 16 versions

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

  1. 2026-01-21auto-patch README.md3eddd356.7 KB
    Loading...
  2. 2026-01-20auto-patch README.mdf1a51596.6 KB
    Loading...
  3. 2026-01-20auto-patch README.md74877e46.4 KB
    Loading...
  4. 2026-01-20auto-patch README.mdd5b05c86 KB
    Loading...
  5. 2026-01-20auto-patch README.md6822c4e5.8 KB
    Loading...
  6. 2026-01-20auto-patch README.md83025675.5 KB
    Loading...
  7. 2026-01-20auto-patch README.md67b367a5.3 KB
    Loading...
  8. 2026-01-20auto-patch README.md4a4ba324.9 KB
    Loading...
  9. 2026-01-20auto-patch README.mdff653484.8 KB
    Loading...
  10. 2026-01-20auto-patch README.md846e6a74.4 KB
    Loading...
  11. 2026-01-20auto-patch README.md9ed9b514 KB
    Loading...
  12. 2026-01-20auto-patch README.md9f6daf23.6 KB
    Loading...
  13. 2026-01-19auto-patch README.md304a30f3.2 KB
    Loading...
  14. 2026-01-19auto-patch README.md78cd5792.9 KB
    Loading...
  15. 2026-01-19auto-patch README.md4df7fa32.7 KB
    Loading...
  16. 2026-01-19uploaded from rich12c62b0e496 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