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

nguyenthilaitrieulong/Huihui-gpt-oss-20b-BF16-abliterated-v2-i1-GGUF

nguyenthilaitrieulong Gpt-oss 20B GGUF second-order 131K 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/nguyenthilaitrieulong%2FHuihui-gpt-oss-20b-BF16-abliterated-v2-i1-GGUF"
Response includes
  • classification m8
  • files 3
  • benchmarks 11 entries
  • hub_downloads_all_time 3,122
  • author_summary 29 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
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
3K
58 last 30d - cooling
Likes
0
Model age
4mo ago
created 2026-05-30
Downloads over time
Now3.1K→from2.5K↑27%
2.4K2.7K2.9K3.2K2.5K on Jun 103.1K on Oct 113.1K on Oct 9JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

Benchmarks

Benchmark Score Source
Entertainment 1 UGI
Hazardous 0 UGI
Natural Intelligence 10.89 UGI
Political lean -14.0% UGI
Sensitive-Info 8.84 UGI
SocPol 1.4 UGI
UGI 31.73 UGI
Willingness (10) 7.8 UGI
W10-Adherence 9.5 UGI
W10-Direct 6 UGI
Writing 17.34 UGI

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.

Metadata

License
apache-2.0
Languages
en
Quantizations
Q6_K
Tags
transformers gguf vllm generated_from_trainer trl sft abliterated uncensored en base_model:huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated-v2 base_model:quantized:huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated-v2 license:apache-2.0

Related

Total size
20.7 GB
Files
3
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-05-30 20:53

Files by quantization

Q6_K 1 file 20.7 GB
Huihui-gpt-oss-20b-BF16-abliterated-v2.i1-Q6_K.gguf 20.7 GB eed97cbb download
Auxiliary files 2 files 10.6 KB
README.md 6.89 KB c5d2cfd3 download
.gitattributes 3.67 KB 80d61791 download

README current version from Hugging Face


base_model: huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated-v2
language:

  • en
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • vllm
  • generated_from_trainer
  • trl
  • sft
  • abliterated
  • uncensored

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Huihui-gpt-oss-20b-BF16-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-gpt-oss-20b-BF16-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_M 12.1 mostly desperate
GGUF i1-IQ1_S 12.1 for the desperate
GGUF i1-IQ2_XXS 12.1
GGUF i1-IQ2_XS 12.1
GGUF i1-Q3_K_S 12.2 IQ3_XS probably better
GGUF i1-IQ2_M 12.2
GGUF i1-IQ2_S 12.2
GGUF i1-IQ3_S 12.2 beats Q3_K*
GGUF i1-IQ3_XS 12.2
GGUF i1-IQ3_XXS 12.2 lower quality
GGUF i1-Q2_K 12.2 IQ3_XXS probably better
GGUF i1-IQ4_XS 12.2
GGUF i1-Q2_K_S 12.2 very low quality
GGUF i1-Q4_0 12.2 fast, low quality
GGUF i1-IQ3_M 12.3
GGUF i1-Q3_K_M 13.0 IQ3_S probably better
GGUF i1-Q3_K_L 13.4 IQ3_M probably better
GGUF i1-Q4_1 13.5
GGUF i1-Q4_K_S 14.8 optimal size/speed/quality
GGUF i1-Q4_K_M 15.9 fast, recommended
GGUF i1-Q5_K_S 16.0
GGUF i1-Q5_K_M 17.0
GGUF i1-Q6_K 22.3 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 1 version

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

  1. 2026-05-30Duplicate from mradermacher/Huihui-gpt-oss-20b-BF16-abliterated-v2-i1-GGUFc2e7b5a6.9 KB
    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