license: gemma base_model:

• Jiunsong/supergemma4-26b-abliterated-multimodal language:
• en
• ko tags:
• GGUF
• llama.cpp
• gemma4
• quantization
• turboquant
• tq3_4s
• multimodal
• abliterated
• conversational pipeline_tag: image-text-to-text

thumbnail

Gemma4-26b-Super-Abliterated-TQ3_4S

Gemma4-26b-Super-Abliterated-TQ3_4S is a GGUF quantization of Jiunsong/supergemma4-26b-abliterated-multimodal using TQ3_4S, a 4.0 bpw Walsh-Hadamard-transform weight format with four per-8 scales.

Files

• Gemma4-26b-Super-Abliterated-TQ3_4S.gguf (12.0 GiB)
• mmproj-f16.gguf (1.2 GiB)
• chat_template.jinja

Runtime Requirement

This model requires the public TurboQuant runtime fork:

• https://github.com/turbo-tan/llama.cpp-tq3

It will not load correctly on stock llama.cpp or other runtimes that do not include TQ3_4S.

Text-Only Run

./build/bin/llama-server \
  -m /path/to/Gemma4-26b-Super-Abliterated-TQ3_4S.gguf \
  -ngl 99 -c 4096 -np 1 \
  -ctk q8_0 -ctv q8_0 -fa on \
  --cache-ram 0 --no-warmup --jinja \
  --chat-template-file /path/to/chat_template.jinja

Vision / Image Input

./build/bin/llama-server \
  -m /path/to/Gemma4-26b-Super-Abliterated-TQ3_4S.gguf \
  -mm /path/to/mmproj-f16.gguf \
  -ngl 99 -c 4096 -np 1 \
  -ctk q8_0 -ctv q8_0 -fa on \
  --cache-ram 0 --no-warmup --jinja \
  --chat-template-file /path/to/chat_template.jinja \
  --no-mmproj-offload

Performance (RTX 5060 Ti 16GB)

Quality

10/10 correct on standard QA benchmark (capital of France, 2+2, Python reverse string, gravity, WW2, primes, boiling point, Shakespeare, Jupiter, hello→Hola).

Base Model

• Jiunsong/supergemma4-26b-abliterated-multimodal — abliterated multimodal variant of Google Gemma 4 26B-A4B
• Original: google/gemma-4-26B-A4B-it

Credits

• Jiunsong for the SuperGemma4 abliterated multimodal model
• Google DeepMind for Gemma 4
• huihui-ai for the abliteration technique

License

Same license terms as the base model apply (Gemma license).