What are the hardware requirements for Humanizer 12B MLX OQ5 G64?

Humanizer 12B MLX OQ5 G64 requires approximately 8.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Humanizer 12B MLX OQ5 G64 and how large is it?

Humanizer 12B MLX OQ5 G64 is developed by groxaxo, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Humanizer 12B MLX OQ5 G64?

Humanizer 12B MLX OQ5 G64 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Humanizer 12B MLX OQ5 G64 by groxaxo — VRAM 8.4GB

Name: Humanizer 12B MLX OQ5 G64
Author: groxaxo

Humanizer 12B MLX OQ5 G64 is an open-source language model by groxaxo. Features: 12b LLM, VRAM: 8.4GB, License: apache-2.0, LLM Explorer Score: 0.31.

5-bit Base model:jialinyyzz/humanize... Base model:quantized:jialinyyz... Conversational En Gemma4 unified Mlx Omlx Quantized Region:us Safetensors Sharded Tensorflow Text-rewriting Zh

Model Card on HF 🤗: https://huggingface.co/groxaxo/humanizer-12B-MLX-oQ5-G64

Humanizer 12B MLX OQ5 G64 Parameters and Internals

LLM Name	Humanizer 12B MLX OQ5 G64
Repository 🤗	https://huggingface.co/groxaxo/humanizer-12B-MLX-oQ5-G64
Base Model(s)	Humanizer jialinyyzz/humanizer
Model Size	12b
Required VRAM	8.4 GB
Updated	2026-10-20
Maintainer	groxaxo
Model Type	gemma4_unified
Model Files	0.7 GB: 1-of-16 0.6 GB: 2-of-16 0.6 GB: 3-of-16 0.5 GB: 4-of-16 0.5 GB: 5-of-16 0.5 GB: 6-of-16 0.5 GB: 7-of-16 0.6 GB: 8-of-16 0.5 GB: 9-of-16 0.6 GB: 10-of-16 0.5 GB: 11-of-16 0.6 GB: 12-of-16 0.5 GB: 13-of-16 0.5 GB: 14-of-16 0.6 GB: 15-of-16 0.1 GB: 16-of-16
Supported Languages	en zh
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.14.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Humanizer 12B MLX OQ5 G64 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Humanizer 12B MLX OQ5 G64

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Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	73563	808
...able5 Composer2.5 V2.3.5x Tau2	0K / 23.9 GB	242415	87
Jev Omni	0K / 23.9 GB	0	223
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Gemma 4 12B It	0K / 23.9 GB	146843	15
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
...2B It AEON Abliterated K4 BF16	0K / 23.9 GB	9244	32
Gemma 4 12B	0K / 23.9 GB	13026	18
...a 4 12B It W4a16 Llmcompressor	0K / 7.7 GB	2370	1

Note: green Score (e.g. "73.2") means that the model is better than groxaxo/humanizer-12B-MLX-oQ5-G64.