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mradermacher/MedraQ-8b-abliterated-i1-GGUF

mradermacher Gemma 8B GGUF second-order 41K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 6,600
  • author_summary 3324 models
  • readme_text full
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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='drwlf/MedraQ-8b-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.

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Downloads · lifetime
7K
884 last 30d - stable
Likes
0
Model age
16mo ago
created 2025-06-08

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now6.7K→from521↑1,189%
2112.6K5K7.3K521 on Jul 9, 20256.7K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 9, 2025 → Oct 11 · 106 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 ro
Quantizations
IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5_K Q6_K
Tags
transformers gguf text-generation medical-ai summarization diagnostic-reasoning gemma-3 fine-tuned en ro dataset:nicoboss/medra-medical base_model:drwlf/MedraQ-8b-abliterated

Related

Total size
48.9 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-11 01:06

Files by quantization

Q6_K 1 file 3.38 GB
MedraQ-8b-abliterated.i1-Q6_K.gguf 3.38 GB 08437e54 download
Q5_K 2 files 5.82 GB
MedraQ-8b-abliterated.i1-Q5_K_M.gguf 2.94 GB 7d72db3a download
MedraQ-8b-abliterated.i1-Q5_K_S.gguf 2.88 GB 72f778ed download
Q4 2 files 5.06 GB
MedraQ-8b-abliterated.i1-Q4_1.gguf 2.64 GB 8c08a339 download
MedraQ-8b-abliterated.i1-Q4_0.gguf 2.42 GB 210f0d03 download
Q4_K 2 files 4.95 GB
MedraQ-8b-abliterated.i1-Q4_K_M.gguf 2.53 GB d00cd6b5 download
MedraQ-8b-abliterated.i1-Q4_K_S.gguf 2.42 GB e4c2d430 download
IQ4 2 files 4.73 GB
MedraQ-8b-abliterated.i1-IQ4_NL.gguf 2.42 GB ecce0b2f download
MedraQ-8b-abliterated.i1-IQ4_XS.gguf 2.31 GB 34972d57 download
Q3_K 3 files 6.24 GB
MedraQ-8b-abliterated.i1-Q3_K_L.gguf 2.24 GB c6991d64 download
MedraQ-8b-abliterated.i1-Q3_K_M.gguf 2.09 GB 2cd233a2 download
MedraQ-8b-abliterated.i1-Q3_K_S.gguf 1.91 GB 3815acc6 download
IQ3 4 files 7.47 GB
MedraQ-8b-abliterated.i1-IQ3_M.gguf 1.98 GB 54da847f download
MedraQ-8b-abliterated.i1-IQ3_S.gguf 1.92 GB 1acaf796 download
MedraQ-8b-abliterated.i1-IQ3_XS.gguf 1.85 GB b172c07d download
MedraQ-8b-abliterated.i1-IQ3_XXS.gguf 1.71 GB 3a11414e download
Q2_K 2 files 3.25 GB
MedraQ-8b-abliterated.i1-Q2_K.gguf 1.67 GB a0200767 download
MedraQ-8b-abliterated.i1-Q2_K_S.gguf 1.57 GB de93122c download
IQ2 4 files 5.70 GB
MedraQ-8b-abliterated.i1-IQ2_M.gguf 1.56 GB 7a66f876 download
MedraQ-8b-abliterated.i1-IQ2_S.gguf 1.48 GB b7328ac2 download
MedraQ-8b-abliterated.i1-IQ2_XS.gguf 1.38 GB afa75087 download
MedraQ-8b-abliterated.i1-IQ2_XXS.gguf 1.28 GB 8abc5f23 download
IQ1 2 files 2.27 GB
MedraQ-8b-abliterated.i1-IQ1_M.gguf 1.17 GB 7d5869cd download
MedraQ-8b-abliterated.i1-IQ1_S.gguf 1.10 GB 0e5d6b8c download
Auxiliary files 3 files 3.67 MB
imatrix.dat 3.66 MB d6adb2da download
README.md 5.79 KB d48ea254 download
.gitattributes 3.23 KB 0d902348 download

README current version from Hugging Face


base_model: drwlf/MedraQ-8b-abliterated
datasets:

  • nicoboss/medra-medical
    language:
  • en
  • ro
    library_name: transformers
    license: apache-2.0
    mradermacher:
    readme_rev: 1
    quantized_by: mradermacher
    tags:
  • text-generation
  • medical-ai
  • summarization
  • diagnostic-reasoning
  • gemma-3
  • fine-tuned

About

weighted/imatrix quants of https://huggingface.co/drwlf/MedraQ-8b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/MedraQ-8b-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 i1-IQ1_S 1.3 for the desperate
GGUF i1-IQ1_M 1.4 mostly desperate
GGUF i1-IQ2_XXS 1.5
GGUF i1-IQ2_XS 1.6
GGUF i1-IQ2_S 1.7
GGUF i1-IQ2_M 1.8
GGUF i1-Q2_K_S 1.8 very low quality
GGUF i1-Q2_K 1.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 1.9 lower quality
GGUF i1-IQ3_XS 2.1
GGUF i1-Q3_K_S 2.2 IQ3_XS probably better
GGUF i1-IQ3_S 2.2 beats Q3_K*
GGUF i1-IQ3_M 2.2
GGUF i1-Q3_K_M 2.3 IQ3_S probably better
GGUF i1-Q3_K_L 2.5 IQ3_M probably better
GGUF i1-IQ4_XS 2.6
GGUF i1-Q4_0 2.7 fast, low quality
GGUF i1-IQ4_NL 2.7 prefer IQ4_XS
GGUF i1-Q4_K_S 2.7 optimal size/speed/quality
GGUF i1-Q4_K_M 2.8 fast, recommended
GGUF i1-Q4_1 2.9
GGUF i1-Q5_K_S 3.2
GGUF i1-Q5_K_M 3.3
GGUF i1-Q6_K 3.7 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 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.mdbbe1d285.8 KB
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  2. 2025-07-10auto-patch README.md5cc44365.7 KB
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  3. 2025-06-08auto-patch README.mdff8f8b85.6 KB
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  4. 2025-06-08uploaded from marco59f895d235 B
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