What are the hardware requirements for Smaug Humanizer?

Smaug Humanizer requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Smaug Humanizer and how large is it?

Smaug Humanizer is developed by abacusai, 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 Smaug Humanizer?

Smaug Humanizer is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smaug Humanizer by abacusai — VRAM 23.9GB

Name: Smaug Humanizer
Author: abacusai

Smaug Humanizer is an open-source language model by abacusai. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, LLM Explorer Score: 0.33.

Abacusai Base model:finetune:google/gem... Base model:google/gemma-4-12b Conversational En Endpoints compatible Gemma4 Gemma4 unified Grpo Humanizer Image-text-to-text Region:us Safetensors Smaug

Model Card on HF 🤗: https://huggingface.co/abacusai/Smaug-Humanizer

Smaug Humanizer Parameters and Internals

LLM Name	Smaug Humanizer
Repository 🤗	https://huggingface.co/abacusai/Smaug-Humanizer
Base Model(s)	Gemma 4 12B google/gemma-4-12B
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-10-28
Maintainer	abacusai
Model Type	gemma4_unified
Model Files	23.9 GB
Supported Languages	en
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Smaug Humanizer 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 Smaug Humanizer

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 12B It	0K / 23.9 GB	2965396	1417
Gemma 4 12B	0K / 23.9 GB	69628	816
...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	0K / 23.9 GB	146843	15
Gemma 4 12B It NVFP4	0K / 9.3 GB	47579	20
Basal Omni 1.0 Max	0K / 23.9 GB	1098	3
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
Gemma 4 12B Penguin	0K / 16 GB	301	1
Gemma 4 12B	0K / 23.9 GB	13026	18

Note: green Score (e.g. "73.2") means that the model is better than abacusai/Smaug-Humanizer.