← back to catalog · registered 2026-11-02 10:02

onemunanoyo/gemma4-E2B-it-Abliterated-V2-GGUF

onemunanoyo Gemma GGUF
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/onemunanoyo%2Fgemma4-E2B-it-Abliterated-V2-GGUF"
Response includes
  • classification m8
  • files 13
  • author_summary 2 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-11-02

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
apache-2.0
Languages
en ja
Quantizations
BF16 Q4_K Q6_K Q8_0
Tags
gguf gemma4 Abliterated GGUF en ja base_model:google/gemma-4-E2B-it base_model:quantized:google/gemma-4-E2B-it license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
20.0 GB
Files
13
Quantizations
5
Registered
2026-11-02 10:02
Last updated on HF
2026-11-02 09:28

Files by quantization

BF16 2 files 9.56 GB
gemma4-E2B-it-Abliterated-V2-BF16.gguf 8.64 GB e592b870 download
mmproj-gemma4-E2B-it-Abliterated-V2-BF16.gguf 941 MB 078d44aa download
Q8_0 1 file 4.61 GB
gemma4-E2B-it-Abliterated-V2-Q8_0.gguf 4.61 GB 297319a8 download
Q6_K 1 file 3.57 GB
gemma4-E2B-it-Abliterated-V2-Q6_K.gguf 3.57 GB 88c660e3 download
Q4_K 1 file 3.18 GB
gemma4-E2B-it-Abliterated-V2-Q4_K_M.gguf 3.18 GB b77ba2cb download
Auxiliary files 8 files 30.7 MB
tokenizer.json 30.7 MB cc8d3a0c download
config.json 4.61 KB 061fd8f0 download
tokenizer_config.json 3.78 KB 1ae1a5fc download
README.md 1.93 KB da66b7f9 download
.gitattributes 1.91 KB 74edade5 download
processor_config.json 1.72 KB 3f3b46ba download
gemma4-E2B-it-Abliterated-V2-SHA256SUMS.txt 968 B 6e41ea4e download
generation_config.json 218 B 6c0254f1 download

README current version from Hugging Face


license: apache-2.0
language:

  • en
  • ja
    base_model:
  • google/gemma-4-E2B-it
    tags:
  • gemma4
  • Abliterated
  • GGUF

gemma4-E2B-it-Abliterated-V2-GGUF

This Model is an improved version of onemunanoyo/gemma4-E2B-Abliterated-GGUF,
with significantly fewer refusals when thinking is enabled.

Benchmark : Refusal behavior (84 Japanese adversarial prompts)

Model Format Reasoning Refusal Deflect Answer
base BF16 on 68 0 16
base BF16 off 73 0 11
former model BF16 on 55 0 29
former model BF16 off 2 1 81
this model BF16 on 3 2 79
this model BF16 off 0 3 81
this model Q8_0 on 3 1 80
this model Q6_K on 1 2 81
this model Q4_K_M on 2 2 80
  • Judge: LiquidAI/d1-3B, given prompt + response + thinking. Three classes:
    Answer (complied), Deflect (asks back instead of refusing outright), Refusal (explicit or soft).
  • Generation: llama.cpp build 11560, greedy (temperature 0), fixed seed, max 4096 tokens.
  • The 84 prompts are the author's private set; contents are not published.

Usage (llama.cpp)

Requires a llama.cpp build with Gemma 4 support.

# Server
llama-server -m MODEL.gguf --temp 1

# CLI (thinking ON / OFF)
llama-cli -m MODEL.gguf -cnv -rea on --temp 1
llama-cli -m MODEL.gguf -cnv -rea off --temp 1

Replace MODEL.gguf with your downloaded file. Adjust GPU offloading (-ngl) and context size (-c) as needed.

For the OpenAI-compatible API, set chat_template_kwargs.enable_thinking to false to disable thinking.

Recommended VRAM

VRAM Recommended
12 GB+ BF16
8 GB Q8_0
6 GB Q6_K
4 GB Q4_K_M

Actual VRAM usage depends on context size and GPU offloading.

License

This model is a modified version of Gemma 4 E2B, released under the Apache License 2.0.

Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration