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

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

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ara is developed by mewse, 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 Ara perform on standard benchmarks?

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ara 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 Ara by mewse — VRAM 51.6GB

Name: Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ara
Author: mewse

Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ara is an open-source language model by mewse. Features: 26b LLM, VRAM: 51.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.45, ELO: 1438.

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

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

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

LLM Name	Gemma 4 26B A4B It Qat Q4 0 Unquantized Heretic Ara
Repository 🤗	https://huggingface.co/mewse/gemma-4-26B-A4B-it-qat-q4_0-unquantized-heretic-ara
Base Model(s)	Gemma 4 26B A4B It google/gemma-4-26B-A4B-it
Model Size	26b
Required VRAM	51.6 GB
Updated	2026-08-26
Maintainer	mewse
Model Type	gemma4
Model Files	13.9 GB 49.3 GB: 1-of-2 2.3 GB: 2-of-2
GGUF Quantization	Yes
Quantization Type	q4\|q4_0\|gguf
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.15.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

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

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 26B A4B It GGUF	0K / 0.5 GB	1436859	1035
Gemma 4 26B A4B It Qat GGUF	0K / 0.3 GB	349063	368
Swarm Sovereign 26B	0K / 51.6 GB	50	1
Gemopus 4 26B A4B It GGUF	0K / 1.2 GB	2783	101
...6B A4B It Qat Q4 0 Unquantized	0K / 51.6 GB	33696	50
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 It UD MLX 4bit	0K / 16.2 GB	1527	34
Gemma 4 26B A4b It MLX 8bit	0K / 27.9 GB	936	16

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