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mitkox/gemma-2b-dpo-uncensored-4bit

mitkox Gemma 2.0B
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Response includes
  • classification m-uncensored
  • files 11
  • benchmarks 5 entries
  • hub_downloads_all_time 21,390
  • author_summary 2 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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 · lifetime
21K
537 last 30d - cooling
Likes
6
Model age
2.6y ago
created 2024-02-22

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now21.6K→from507↑4,158%
07.9K15.8K23.7K507 on Jul 24, 202421.6K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 156 snapshots · spans 809 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Arena-Battles 4918 LM-Arena
LM Arena Elo 1011.7405090671136 LM-Arena
Arena-Elo-Lower 1000.3091880949547 LM-Arena
Arena-Elo-Upper 1023.1718300392724 LM-Arena
Arena-Rank 227 LM-Arena

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

Languages
en
Tags
transformers safetensors gemma text-generation generated_from_trainer axolotl instruct finetune chatml gpt4 synthetic data distillation

Related

Total size
7.54 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-02-22 09:24

Files by quantization

Auxiliary files 11 files 7.56 GB
model-00001-of-00002.safetensors 4.97 GB 0ec1248c download
model.safetensors 2.01 GB c989b3be download
model-00002-of-00002.safetensors 567 MB b1307c70 download
tokenizer.json 16.7 MB 05e97791 download
tokenizer.model 4.04 MB 6969e640 download
model.safetensors.index.json 28.6 KB 9c56dc8c download
config.json 2.33 KB 81926614 download
tokenizer_config.json 2.10 KB f66eacb3 download
.gitattributes 1.53 KB 52373fe2 download
README.md 643 B 924afab9 download
special_tokens_map.json 636 B 8d6368f7 download

README current version from Hugging Face


language:

  • en
    license: cc-by-nc-4.0
    library_name: transformers
    tags:
  • generated_from_trainer
  • axolotl
  • gemma
  • instruct
  • finetune
  • chatml
  • gpt4
  • synthetic data
  • distillation
  • mlx
    datasets:
  • mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha
    base_model: google/gemma-2b-it
    pipeline_tag: text-generation
    model-index:
  • name: gemma-2b-openhermes
    results: []

mitkox/gemma-2b-dpo-uncensored-4bit

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mitkox/gemma-2b-dpo-uncensored-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)

README history 2 versions

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

  1. 2024-02-22Update README.mdc9528fa643 B
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  2. 2024-02-22Upload folder using huggingface_hubbbb33f2840 B
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Discussions 3 threads

  1. 2024-03-20Does anyone know how to fine tune this model?open1 💬#3
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  2. 2024-02-22Multiple models included (should only be the single 4-bit safetensor file)closed1 💬#2
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  3. 2024-02-22please convert to ggufopen3 💬#1
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