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brunogcp/supergemma4-26b-abliterated-multimodal-gguf-4bit

brunogcp Gemma 26B GGUF multimodal second-order 262K ctx
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  • files 5
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  • author_summary 2 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
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.

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Downloads · lifetime
1K
128 last 30d - cooling
Likes
1
Model age
5mo ago
created 2026-04-20
Downloads over time
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Metadata

License
gemma
Languages
en ko
Quantizations
Q4_K
Tags
gguf gemma4 llama.cpp multimodal image-text-to-text abliterated uncensored quantized 4-bit conversational en ko

Related

Total size
15.6 GB
Files
5
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-04-20 01:17

Files by quantization

Q4_K 1 file 15.6 GB
supergemma4-26b-abliterated-multimodal-Q4_K_M.gguf 15.6 GB 221ba8ed download
F16 1 file 1.12 GB
mmproj-supergemma4-26b-abliterated-multimodal-f16.gguf 1.12 GB 352f3939 download
Auxiliary files 3 files 19.4 KB
chat_template.jinja 16.1 KB 98da08eb download
README.md 1.72 KB db0b59d7 download
.gitattributes 1.66 KB 6b3429e6 download

README current version from Hugging Face


license: gemma
base_model:

  • Jiunsong/supergemma4-26b-abliterated-multimodal
    tags:
  • gemma4
  • gguf
  • llama.cpp
  • multimodal
  • image-text-to-text
  • abliterated
  • uncensored
  • quantized
  • 4-bit
    language:
  • en
  • ko
    pipeline_tag: image-text-to-text

Support ongoing open-source work: ko-fi.com/jiunsong

SuperGemma4-26B-Abliterated-Multimodal GGUF 4bit

This is the compact llama.cpp-ready GGUF 4bit distribution of Jiunsong/supergemma4-26b-abliterated-multimodal.

It keeps the matching multimodal projector and was validated with both text and image prompts after quantization.

Included files

  • supergemma4-26b-abliterated-multimodal-Q4_K_M.gguf
  • mmproj-supergemma4-26b-abliterated-multimodal-f16.gguf

Validation

  • Text check: returned READY
  • Image check: returned Red for a solid red test image
  • Text throughput in llama.cpp: prompt 230.6 tok/s, generation 137.1 tok/s
  • Image throughput in llama.cpp: prompt 138.1 tok/s, generation 50.3 tok/s
  • Disk footprint: about 17 GB

Quantization note

This build was generated as Q4_K_M. A small number of tensors were automatically kept at higher precision by llama.cpp where needed for compatibility and stability.

Recommended use

Use this build when you want the smallest practical GGUF package here while keeping text + vision capability.

Quick start

llama-cli \
  -m /absolute/path/to/supergemma4-26b-abliterated-multimodal-Q4_K_M.gguf \
  -mm /absolute/path/to/mmproj-supergemma4-26b-abliterated-multimodal-f16.gguf \
  -cnv -st \
  --image /absolute/path/to/image.png \
  -p "Describe the image briefly."

README history 1 version

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

  1. 2026-04-20Duplicate from kof1467/supergemma4-26b-abliterated-multimodal-gguf-4bit99ea99b1.7 KB
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