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mradermacher/Medra4b-abliterated-i1-GGUF

mradermacher Gemma GGUF MoE second-order 131K ctx
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Response includes
  • classification m8
  • files 27
  • hub_downloads_all_time 5,661
  • author_summary 3325 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/Medra4b-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
6K
471 last 30d - cooling
Likes
0
Model age
15mo ago
created 2025-07-14

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
Now5.9K→from335↑1,649%
592.2K4.3K6.4K335 on Jul 16, 20255.9K on Oct 125.9K on Oct 11Jul '25Sep '25Nov '25JanMarMayJulSep
Jul 16, 2025 → Oct 12 · 105 snapshots · spans 453 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:drwlf/medra-thinking-768 base_model:drwlf/Medra4b-abliterated

Related

Total size
52.2 GB
Files
27
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2025-07-16 15:48

Files by quantization

Q6_K 1 file 3.48 GB
Medra4b-abliterated.i1-Q6_K.gguf 3.48 GB f4d1b7f0 download
Q5_K 2 files 6.07 GB
Medra4b-abliterated.i1-Q5_K_M.gguf 3.07 GB 6038dd51 download
Medra4b-abliterated.i1-Q5_K_S.gguf 3.00 GB 222a11bb download
Q4 2 files 5.34 GB
Medra4b-abliterated.i1-Q4_1.gguf 2.78 GB 0eea3bb1 download
Medra4b-abliterated.i1-Q4_0.gguf 2.56 GB 792aa5ad download
Q4_K 2 files 5.24 GB
Medra4b-abliterated.i1-Q4_K_M.gguf 2.67 GB d6db6066 download
Medra4b-abliterated.i1-Q4_K_S.gguf 2.57 GB a63c8e24 download
IQ4 2 files 4.99 GB
Medra4b-abliterated.i1-IQ4_NL.gguf 2.55 GB 1f3f4baf download
Medra4b-abliterated.i1-IQ4_XS.gguf 2.44 GB 71cf5c70 download
Q3_K 3 files 6.65 GB
Medra4b-abliterated.i1-Q3_K_L.gguf 2.35 GB 157b6f51 download
Medra4b-abliterated.i1-Q3_K_M.gguf 2.22 GB 8647ce96 download
Medra4b-abliterated.i1-Q3_K_S.gguf 2.07 GB ae9dbd0e download
IQ3 4 files 8.04 GB
Medra4b-abliterated.i1-IQ3_M.gguf 2.12 GB 45ef73c9 download
Medra4b-abliterated.i1-IQ3_S.gguf 2.07 GB f4d2f816 download
Medra4b-abliterated.i1-IQ3_XS.gguf 2.00 GB f3c0dc69 download
Medra4b-abliterated.i1-IQ3_XXS.gguf 1.84 GB 4796a44a download
Q2_K 2 files 3.54 GB
Medra4b-abliterated.i1-Q2_K.gguf 1.82 GB c4809431 download
Medra4b-abliterated.i1-Q2_K_S.gguf 1.73 GB f72a3e61 download
IQ2 4 files 6.26 GB
Medra4b-abliterated.i1-IQ2_M.gguf 1.70 GB 37278452 download
Medra4b-abliterated.i1-IQ2_S.gguf 1.62 GB 24f8c068 download
Medra4b-abliterated.i1-IQ2_XS.gguf 1.51 GB a3636ecb download
Medra4b-abliterated.i1-IQ2_XXS.gguf 1.43 GB dce03218 download
IQ1 2 files 2.58 GB
Medra4b-abliterated.i1-IQ1_M.gguf 1.32 GB e2600d10 download
Medra4b-abliterated.i1-IQ1_S.gguf 1.26 GB 1381ed1f download
Auxiliary files 3 files 3.27 MB
imatrix.dat 3.26 MB d3e8946d download
README.md 5.83 KB fb9aaa06 download
.gitattributes 3.18 KB 3e069fe5 download

README current version from Hugging Face


base_model: drwlf/Medra4b-abliterated
datasets:

  • drwlf/medra-thinking-768
    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/Medra4b-abliterated

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

static quants are available at https://huggingface.co/mradermacher/Medra4b-abliterated-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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 1.5 for the desperate
GGUF i1-IQ1_M 1.5 mostly desperate
GGUF i1-IQ2_XXS 1.6
GGUF i1-IQ2_XS 1.7
GGUF i1-IQ2_S 1.8
GGUF i1-IQ2_M 1.9
GGUF i1-Q2_K_S 2.0 very low quality
GGUF i1-Q2_K 2.0 IQ3_XXS probably better
GGUF i1-IQ3_XXS 2.1 lower quality
GGUF i1-IQ3_XS 2.3
GGUF i1-IQ3_S 2.3 beats Q3_K*
GGUF i1-Q3_K_S 2.3 IQ3_XS probably better
GGUF i1-IQ3_M 2.4
GGUF i1-Q3_K_M 2.5 IQ3_S probably better
GGUF i1-Q3_K_L 2.6 IQ3_M probably better
GGUF i1-IQ4_XS 2.7
GGUF i1-IQ4_NL 2.8 prefer IQ4_XS
GGUF i1-Q4_0 2.8 fast, low quality
GGUF i1-Q4_K_S 2.9 optimal size/speed/quality
GGUF i1-Q4_K_M 3.0 fast, recommended
GGUF i1-Q4_1 3.1
GGUF i1-Q5_K_S 3.3
GGUF i1-Q5_K_M 3.4
GGUF i1-Q6_K 3.8 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 3 versions

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

  1. 2025-07-16auto-patch README.mdd7a4b725.8 KB
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  2. 2025-07-14auto-patch README.mde4d86755.7 KB
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  3. 2025-07-14uploaded from nico13726fa0233 B
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