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

mradermacher/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-i1-GGUF

mradermacher Deepseek 8B 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/mradermacher%2FJosiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-i1-GGUF"
Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 40,152
  • 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='Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1' (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
40K
7K last 30d - stable
Likes
22
Model age
16mo ago
created 2025-05-31
Downloads over time
Now43.7K→from948↑4,512%
016K32.1K48.1K948 on May 28, 202543.7K on Oct 11May '25Aug '25Nov '25FebMayAug
May 28, 2025 → Oct 11 · 117 snapshots · spans 501 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 · 8K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Languages
en
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf chat en base_model:Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1 base_model:quantized:Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1 endpoints_compatible region:us imatrix conversational

Related

Total size
89.7 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 01:40

Files by quantization

Q6_K 1 file 6.26 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q6_K.gguf 6.26 GB 2b5ba8ef download
Q5_K 2 files 10.8 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q5_K_M.gguf 5.45 GB 104f3954 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q5_K_S.gguf 5.33 GB a8a124e4 download
Q4 2 files 9.35 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q4_1.gguf 4.89 GB 22440d6d download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q4_0.gguf 4.46 GB 3384cf37 download
Q4_K 2 files 9.15 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q4_K_M.gguf 4.68 GB fbf9f88e download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q4_K_S.gguf 4.47 GB c65dd01b download
IQ4 2 files 8.71 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ4_NL.gguf 4.46 GB 04306a2a download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ4_XS.gguf 4.25 GB a557a0e5 download
Q3_K 3 files 11.5 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q3_K_L.gguf 4.13 GB 35d6bc92 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q3_K_M.gguf 3.84 GB 07b13679 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q3_K_S.gguf 3.51 GB 2bfc488f download
IQ3 4 files 13.7 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ3_M.gguf 3.63 GB a8dbd985 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ3_S.gguf 3.53 GB 5c97a691 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ3_XS.gguf 3.38 GB 99d77f27 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ3_XXS.gguf 3.14 GB 1ff1be65 download
Q2_K 2 files 5.93 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q2_K.gguf 3.06 GB 4fe770f0 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-Q2_K_S.gguf 2.87 GB f0abb3ab download
IQ2 4 files 10.3 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ2_M.gguf 2.84 GB c88ba56c download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ2_S.gguf 2.67 GB 7c9e6eb5 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ2_XS.gguf 2.51 GB 84bca954 download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ2_XXS.gguf 2.32 GB de6b0ed1 download
IQ1 2 files 4.07 GB
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ1_M.gguf 2.10 GB a565cc2d download
Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1.i1-IQ1_S.gguf 1.97 GB d21359d5 download
Auxiliary files 3 files 5.08 MB
imatrix.dat 5.07 MB e33243d4 download
README.md 7.14 KB 4df867ad download
.gitattributes 3.91 KB 9b454a9e download

README current version from Hugging Face


base_model: Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1
language:

  • en
    library_name: transformers
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • chat

About

weighted/imatrix quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1

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

static quants are available at https://huggingface.co/mradermacher/Josiefied-DeepSeek-R1-0528-Qwen3-8B-abliterated-v1-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 2.2 for the desperate
GGUF i1-IQ1_M 2.4 mostly desperate
GGUF i1-IQ2_XXS 2.6
GGUF i1-IQ2_XS 2.8
GGUF i1-IQ2_S 3.0
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K_S 3.2 very low quality
GGUF i1-Q2_K 3.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.5 lower quality
GGUF i1-IQ3_XS 3.7
GGUF i1-Q3_K_S 3.9 IQ3_XS probably better
GGUF i1-IQ3_S 3.9 beats Q3_K*
GGUF i1-IQ3_M 4.0
GGUF i1-Q3_K_M 4.2 IQ3_S probably better
GGUF i1-Q3_K_L 4.5 IQ3_M probably better
GGUF i1-IQ4_XS 4.7
GGUF i1-Q4_0 4.9 fast, low quality
GGUF i1-IQ4_NL 4.9 prefer IQ4_XS
GGUF i1-Q4_K_S 4.9 optimal size/speed/quality
GGUF i1-Q4_K_M 5.1 fast, recommended
GGUF i1-Q4_1 5.3
GGUF i1-Q5_K_S 5.8
GGUF i1-Q5_K_M 6.0
GGUF i1-Q6_K 6.8 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.mdbd73e5f7.1 KB
    Loading...
  2. 2025-07-10auto-patch README.md17153fe7.1 KB
    Loading...
  3. 2025-05-31auto-patch README.mda84a0a66.9 KB
    Loading...
  4. 2025-05-31uploaded from back810d072276 B
    Loading...

Discussions 1 thread

  1. 2025-10-06Chapeau. Chapeau!open2 💬#1
    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