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mlx-community/gemma-2-2b-it-abliterated-6bit

mlx-community Gemma 2.6B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlx-community%2Fgemma-2-2b-it-abliterated-6bit"
Response includes
  • classification m1
  • files 9
  • benchmarks 16 entries
  • hub_downloads_all_time 346
  • author_summary 207 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
346
40 last 30d - stable
Likes
0
Model age
19mo ago
created 2025-02-26
Downloads over time
Now363→from14↑2,493%
013326539814 on Feb 26, 2025363 on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 26, 2025 → Oct 11 · 124 snapshots · spans 592 days

Benchmarks

Benchmark Score Source
BBH average 0.38292904397457517 OpenLLM-v2
IFEval instruct 0.5911270983213429 OpenLLM-v2
IFEval-Prompt 0.47504621072088726 OpenLLM-v2
MATH lvl 5 0.0015105740181268882 OpenLLM-v2
MMLU-Pro 0.25382313829787234 OpenLLM-v2
Entertainment 1.2 UGI
Hazardous 1.8 UGI
Natural Intelligence 11.25 UGI
Political lean -27.7% UGI
Sensitive-Info 11.98 UGI
SocPol 0.8 UGI
UGI 29.65 UGI
Willingness (10) 6.5 UGI
W10-Adherence 7 UGI
W10-Direct 6 UGI
Writing 24.68 UGI

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
Tags
mlx safetensors gemma2 en base_model:IlyaGusev/gemma-2-2b-it-abliterated base_model:quantized:IlyaGusev/gemma-2-2b-it-abliterated license:gemma 6-bit region:us

Related

Total size
1.98 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-26 14:01

Files by quantization

Auxiliary files 9 files 2.01 GB
model.safetensors 1.98 GB 25ca4aad download
tokenizer.json 32.8 MB ead5581f download
tokenizer.model 4.04 MB 61a7b147 download
tokenizer_config.json 45.9 KB 1795c04b download
model.safetensors.index.json 45.6 KB 5a240191 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.04 KB 2a8806c4 download
README.md 943 B 622a8671 download
special_tokens_map.json 555 B f6119589 download

README current version from Hugging Face


license: gemma
language:

  • en
    tags:
  • mlx
    base_model: IlyaGusev/gemma-2-2b-it-abliterated

mlx-community/gemma-2-2b-it-abliterated-6bit

The Model mlx-community/gemma-2-2b-it-abliterated-6bit was converted to MLX format from IlyaGusev/gemma-2-2b-it-abliterated using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gemma-2-2b-it-abliterated-6bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

README history 2 versions

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

  1. 2025-02-26Update README.md958a341943 B
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  2. 2025-02-26Upload README.md with huggingface_hub33ea887935 B
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