SuperGemma4-31b-abliterated-GGUF

SuperGemma4-31b-abliterated-GGUF

If this release helps you, support future drops on Ko-fi.

SuperGemma4-31b-abliterated-GGUF is the GGUF release of SuperGemma4-31b-abliterated, packaged for llama.cpp-compatible runtimes and built for people who want a fully uncensored, harder-hitting Gemma 4 31B experience on local hardware.

This release keeps the same product direction as the MLX version:

• fully uncensored chat with fewer brakes
• stronger coding and technical help
• sharper reasoning and planning
• better real-world usefulness for local users
• a surprisingly lightweight-feeling 31B deployment path for GGUF users

What you get

• GGUF quantized weights for local deployment
• Gemma chat template alongside the model files
• a straightforward path for llama.cpp, LM Studio, and other GGUF tooling

Why people will like it

This release was pushed toward the things end users notice immediately:

• much more open uncensored conversation
• stronger coding, debugging, and implementation help
• more useful answers on practical prompts instead of generic filler
• a local experience that feels sharper, more direct, and more builder-friendly
• a 31B release that feels leaner and punchier than the label suggests

In short: this is the Gemma 4 31B local drop for people who want fewer brakes, more capability, and a more addictive day-to-day experience.

Recommended usage

Example with llama.cpp:

llama-cli -m SuperGemma4-31b-abliterated.Q4_K_M.gguf -p "Write a clean FastAPI CRUD example." -n 256

Included clean-output helper

This release includes supergemma_guard.py and supergemma_gguf_guarded_generate.py for exact-output, JSON-only, and loop-sensitive workloads.

Example:

python supergemma_gguf_guarded_generate.py \
  --model SuperGemma4-31b-abliterated.Q4_K_M.gguf \
  --chat-template-file chat_template.jinja \
  --prompt 'Return only valid JSON with keys "title" and "steps".'

Recommended behaviors:

• require raw JSON for JSON-only endpoints
• strip stray internal markers before presenting answers
• keep structured-output prompts explicit and narrow
• use the guarded runner by default for exact replies, fixed-line outputs, and tool-followup style prompts

Support

If you want to support more uncensored local model releases, benchmarks, and packaging work:

• Ko-fi