What are the hardware requirements for Goetia 26B A4B V1.4?

Goetia 26B A4B V1.4 requires approximately 51.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Goetia 26B A4B V1.4 and how large is it?

Goetia 26B A4B V1.4 is developed by Naphula, a model with 26b 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 Goetia 26B A4B V1.4?

Goetia 26B A4B V1.4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Goetia 26B A4B V1.4 by Naphula — VRAM 51.9GB

Name: Goetia 26B A4B V1.4
Author: Naphula

Goetia 26B A4B V1.4 is an open-source language model by Naphula. Features: 26b LLM, VRAM: 51.9GB, License: apache-2.0, MoE, Merged, LLM Explorer Score: 0.29.

Merged Model Arxiv:2406.11617 Base model:beaverai/orion-26b-... Base model:darkhn/gemma-4-26b-... Base model:google/gemma-4-26b-... Base model:gryphe/gemma-4-26b-... Base model:gryphe/pantheon-rea... Base model:readyart/serenity-2... Base model:zerofata/g4-meromer... Conversational Creative writing Endpoints compatible Eng Gemma4 Image-text-to-text Moe Moe della Region:us Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Naphula/Goetia-26B-A4B-v1.4

Goetia 26B A4B V1.4 Parameters and Internals

LLM Name	Goetia 26B A4B V1.4
Repository 🤗	https://huggingface.co/Naphula/Goetia-26B-A4B-v1.4
Base Model(s)	Gemma 4 26B A4B BeaverAI/Orion-26B-A4B-v1b-GGUF Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT Gemma 4 26B A4B StyleTune V2 Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ReadyArt/Serenity-26B-A4B-GGUF G4 MeroMero 26B A4B google/gemma-4-26B-A4B BeaverAI/Orion-26B-A4B-v1b-GGUF Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT Gryphe/Gemma-4-26B-A4B-StyleTune-V2 Gryphe/Pantheon-Reasoning-26B-A4B-1.1 ReadyArt/Serenity-26B-A4B-GGUF zerofata/G4-MeroMero-26B-A4B
Merged Model	Yes
Model Size	26b
Required VRAM	51.9 GB
Updated	2026-08-14
Maintainer	Naphula
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 3.1 GB: 11-of-11
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.12.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Goetia 26B A4B V1.4 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 Goetia 26B A4B V1.4

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 26B A4B It	0K / 51.6 GB	10405989	1007
Gemma 4 26B A4B	0K / 51.6 GB	624397	370
Gemma 4 26B A4B It	0K / 51.6 GB	27049	29
Gemma 4 26B A4B StyleTune V2	0K / 53.1 GB	1598	49
Gemma 4 26B A4B	0K / 51.6 GB	3368	19
Gemma 4 26B A4b It Bf16	0K / 51.6 GB	1517	3
Gemma 4 26B A4B NVFP4	0K / 18.8 GB	1424962	126
Gemma 4 26B A4B It NVFP4	0K / 16.9 GB	154663	21
Gemma 4 26B A4B It FP8 Dynamic	0K / 28.6 GB	1136349	38
Gemma 4 26B A4B It NVFP4	0K / 16.4 GB	742819	39

Note: green Score (e.g. "73.2") means that the model is better than Naphula/Goetia-26B-A4B-v1.4.