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

HF 源站

divinetribe/gemma-4-31b-it-abliterated-4bit-mlx is an uncensored open-source model hosted on Hugging Face.

Text GenerationMLX LMsafetensorsEnglishLicense: apache-2.031Bmlxgemma4abliterateduncensoredgemmamultimodalablationmlx-4bitapple-siliconlocal-llmon-devicemacbook4-bitgemma-4conversational
README.md说明 / 使用方法

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).

  • 🤗 All my models: nicedreamzwholesale.com/software/huggingface/
  • 💻 Software portfolio: nicedreamzwholesale.com/software/
  • 🔒 AirGap AI (legal / healthcare / NDA workflows): nicedreamzwholesale.com/airgap/

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].

HUGGING FACE

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来源与版本

作者
divinetribe
最近更新
2026/08/22
最新创建
2026/04/09
HF 趋势
未知
数据快照
2026/09/17
版本
未知
许可证
apache-2.0