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Jiunsong/SuperGemma4-31b-abliterated-GGUF

Jiunsong Gemma 31B GGUF 262K ctx
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Response includes
  • classification m8
  • files 6
  • hub_downloads_all_time 23,666
  • author_summary 35 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
24K
380 last 30d - cooling
Likes
68
Model age
6mo ago
created 2026-04-14
Downloads over time
Now23.8K→from6.8K↑252%
1.9K9.9K17.9K25.9K6.8K on Apr 1523.8K on Oct 11AprMayJunJulAugSepOct
Apr 15 → Oct 11 · 66 snapshots · spans 179 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.

Metadata

License
gemma
Languages
en ko
Quantizations
Q4_K
Tags
gguf gemma gemma4 llama.cpp q4_k_m uncensored chat coding reasoning text-generation conversational en

Related

Total size
17.4 GB
Files
6
Quantizations
2
Registered
2026-08-22 13:56
Last updated on HF
2026-04-15 02:56

Files by quantization

Q4_K 1 file 17.4 GB
SuperGemma4-31b-abliterated.Q4_K_M.gguf 17.4 GB 4ceb3dfb download
Auxiliary files 5 files 39.4 KB
supergemma_guard.py 16.2 KB 268b0d5b download
chat_template.jinja 16.1 KB 98da08eb download
supergemma_gguf_guarded_generate.py 2.99 KB b6fef9f6 download
README.md 2.60 KB dfdd5b4f download
.gitattributes 1.56 KB 08a66384 download

README current version from Hugging Face


license: gemma
library_name: gguf
pipeline_tag: text-generation
base_model: google/gemma-4-31b-it
base_model_relation: finetune
language:

  • en
  • ko
    tags:
  • gemma
  • gemma4
  • gguf
  • llama.cpp
  • q4_k_m
  • uncensored
  • chat
  • coding
  • reasoning

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:

README history 4 versions

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

  1. 2026-04-15Update guard scripts and recommended guarded usagee6ec0c12.6 KB
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  2. 2026-04-14Upload README.md with huggingface_hub0bcb1e02.5 KB
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  3. 2026-04-14Upload README.md with huggingface_hub578b2d22.3 KB
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  4. 2026-04-14Upload README.md with huggingface_hub23ee0761.7 KB
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