What are the hardware requirements for Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja?

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja requires approximately 51.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja and how large is it?

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja is developed by OS-Software, a model with 26b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja perform on standard benchmarks?

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja has the following published scores: LMSYS ELO 1438. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja by OS-Software — VRAM 51.6GB

Name: Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja
Author: OS-Software

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja is an open-source language model by OS-Software. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, Quantized, ELO: 1438.

Arxiv:2607.02770 Abliterated Ara-lora Base model:finetune:google/gem... Base model:google/gemma-4-26b-... Conversational Decensored Endpoints compatible Gemma4 Heretic Image-text-to-text Lora Q4 Q4 0 Quantized Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/OS-Software/gemma-4-26B-A4B-it-qat-q4_0-unquantized-heretic-ja

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja Benchmarks

LMSys ELO 1438 vs 1272 (so35) 13.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja Parameters and Internals

LLM Name	Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja
Repository 🤗	https://huggingface.co/OS-Software/gemma-4-26B-A4B-it-qat-q4_0-unquantized-heretic-ja
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-08-09
Maintainer	OS-Software
Model Type	gemma4
Model Files	4.7 GB: 1-of-11 4.9 GB: 2-of-11 4.9 GB: 3-of-11 4.9 GB: 4-of-11 4.9 GB: 5-of-11 4.9 GB: 6-of-11 4.9 GB: 7-of-11 4.9 GB: 8-of-11 4.9 GB: 9-of-11 4.9 GB: 10-of-11 2.8 GB: 11-of-11
Quantization Type	q4\|q4_0
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.13.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
LoRA Model	Yes

Rank the Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja 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 Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ja

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 26B A4b It 4bit	0K / 15.4 GB	27543	79
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	3487	3
Gemma 4 26B A4b It 8bit	0K / 27.9 GB	2917	14
Gemma 4 26B A4b 4bit	0K / 15.6 GB	488	19
Gemma 4 26B A4b It 6bit	0K / 21.7 GB	611	7
Gemma 4 26B A4b 8bit	0K / 27.9 GB	162	7
Gemma 4 26B A4b It 5bit	0K / 18.5 GB	111	3
Gemma 4 26B A4b 6bit	0K / 21.7 GB	60	3
Gemma 4 26B A4b 5bit	0K / 18.7 GB	45	1
...ma 4 26B A4B It Qat OptiQ 4bit	0K / 20.7 GB	2674	4

Note: green Score (e.g. "73.2") means that the model is better than OS-Software/gemma-4-26B-A4B-it-qat-q4_0-unquantized-heretic-ja.