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divinetribe/gemma-4-31b-it-abliterated-4bit-mlx

divinetribe Gemma 31B multimodal second-order
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Response includes
  • classification m1
  • files 12
  • hub_downloads_all_time 5,322
  • author_summary 14 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
5K
620 last 30d - stable
Likes
1
Model age
6mo ago
created 2026-04-09
Downloads over time
Now5.6K→from1.2K↑348%
1K2.7K4.3K6K1.2K on Apr 155.6K on Oct 12AprMayJunJulAugSepOct
Apr 15 → Oct 12 · 66 snapshots · spans 180 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
apache-2.0
Languages
en
Tags
mlx safetensors gemma4 abliterated uncensored gemma multimodal ablation mlx-4bit mlx-lm apple-silicon local-llm

Related

Total size
16.1 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-22 20:27

Files by quantization

Auxiliary files 12 files 16.1 GB
model-00003-of-00004.safetensors 5.00 GB a06aa35f download
model-00001-of-00004.safetensors 5.00 GB 988e2b1f download
model-00002-of-00004.safetensors 4.99 GB 83858018 download
model-00004-of-00004.safetensors 1.09 GB 078692c3 download
tokenizer.json 30.7 MB cc8d3a0c download
model.safetensors.index.json 163 KB dbbf0fca download
chat_template.jinja 11.8 KB 33c51c2d download
config.json 4.24 KB d49a157e download
README.md 3.55 KB 074bf018 download
tokenizer_config.json 2.65 KB 7f5c1b1a download
.gitattributes 1.53 KB 52373fe2 download
generation_config.json 208 B e605bb45 download

README current version from Hugging Face


base_model: null-space/gemma-4-31b-it-abliterated
base_model_relation: quantized
license: apache-2.0
language:

  • en
    library_name: mlx
    pipeline_tag: text-generation
    tags:
  • abliterated
  • uncensored
  • gemma4
  • gemma
  • multimodal
  • ablation
  • mlx
  • mlx-4bit
  • mlx-lm
  • apple-silicon
  • local-llm
  • on-device
  • macbook
  • 31b
  • 4-bit
  • gemma-4
    license_link: https://ai.google.dev/gemma/docs/gemma_4_license
    model-index:
  • name: gemma-4-31b-it-abliterated-4bit-mlx
    results: []

gemma-4-31b-it-abliterated-4bit-mlx

Uncensored Gemma 4 31B on Apple Silicon. Abliterated, 4-bit MLX, 17.3 GB — runs comfortably on a 32 GB Mac and flies on 64 GB+. No cloud, no API key, no refusals.

A 4-bit MLX quantization of null-space/gemma-4-31b-it-abliterated, tuned for fast on-device inference on Apple Silicon.

  • Base model: null-space/gemma-4-31b-it-abliterated (BF16, ~62 GB)
  • Quantization: 4-bit affine, group size 64
  • Format: MLX safetensors
  • Footprint: ~16 GB on disk, runs comfortably on a 32 GB Mac and flies on 64 GB+
  • Throughput: ~15 tok/s on M4 Max (measured with mlx-lm 0.21+)

Why this exists

The default model in nicedreamzapp/claude-code-local used to point at a mlx-community/... repo that never actually existed. This is the real, working 4-bit quant — drop-in replacement.

Usage

from mlx_lm import load, generate

model, tokenizer = load("divinetribe/gemma-4-31b-it-abliterated-4bit-mlx")
print(generate(model, tokenizer, prompt="Hello", max_tokens=200))

Or via the launcher / setup script in claude-code-local:

MLX_MODEL=divinetribe/gemma-4-31b-it-abliterated-4bit-mlx \
  bash scripts/start-mlx-server.sh

Abliteration

Refusal-direction projection per Arditi et al. (2024). Use responsibly — you are now the moderator.


About the author

This model was built by Matt Macosko (@nicedreamzapp) for the claude-code-local stack — run Claude Code 100% on-device with local AI on Apple Silicon (⭐ 2,664 on GitHub).

More abliterated MLX models

Part of the Abliterated MLX for Apple Silicon
collection — 11 uncensored models converted for Macs, from Gemma 4 12B up to
Llama 3.3 70B, plus Qwen3, Qwen3-VL, Hermes 4 and Muse Glimmer 30B.


Part of Claude Code Local

This model is one of the fighters in Claude Code Local (3.2k★), which runs Claude Code 100% on-device on Apple Silicon through an MLX-native Anthropic-API server. Not sure which local model to run as an agent? Check the Agent-12 local agent leaderboard: real agent tasks, judged by the filesystem, same hardware for every row.

Built by Matt Macosko in Arcata, CA. Open to work on local-AI and Apple Silicon inference: [email protected].

README history 5 versions

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

  1. 2026-08-22Model card: link to Claude Code Local and the Agent-12 leaderboard2d4d0413.5 KB
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  2. 2026-08-12SEO: lead with a searchable summary, cross-link the collection7468f3c2.9 KB
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  3. 2026-08-12SEO: base_model lineage, language, Apple Silicon / MLX tags1b531de2.4 KB
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  4. 2026-05-22docs: add cross-link to claude-code-local + /software/huggingface/ showcasee537d1b2.3 KB
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  5. 2026-04-09Initial upload: Gemma 4 31B abliterated, 4-bit MLX quantd3631a31.6 KB
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