What are the hardware requirements for Cyberdonia 24B V8?

Cyberdonia 24B V8 requires approximately 47.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cyberdonia 24B V8 and how large is it?

Cyberdonia 24B V8 is developed by Naphula, a model with 24b 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 Cyberdonia 24B V8?

Cyberdonia 24B V8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cyberdonia 24B V8 by Naphula — VRAM 47.3GB, 128K context

Name: Cyberdonia 24B V8
Author: Naphula

Cyberdonia 24B V8 is an open-source language model by Naphula. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.34.

Merged Model Arxiv:2406.11617 All genres Base model:anthracite-core/mis... Base model:beaverai/cydonia-24... Base model:beaverai/cydonia-24... Base model:thedrummer/cydonia-... Conversational Creative Creative writing Dark writing Della En Endpoints compatible Fiction Fiction story Fiction writing Horror Instruct Mistral Plot generation Region:us Roleplay Roleplaying Romance Rp Safetensors Scene continue Science fiction Sharded Story Story generation Storytelling Sub-plot generation Suspense Swearing Tensorflow Vivid prosing Vivid writing Writing

Model Card on HF 🤗: https://huggingface.co/Naphula/Cyberdonia-24B-v8

Cyberdonia 24B V8 Parameters and Internals

LLM Name	Cyberdonia 24B V8
Repository 🤗	https://huggingface.co/Naphula/Cyberdonia-24B-v8
Base Model(s)	anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only BeaverAI/Cydonia-24B-v4x-GGUF BeaverAI/Cydonia-24B-v4y-GGUF TheDrummer/Cydonia-24B-v4.3 anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only BeaverAI/Cydonia-24B-v4x-GGUF BeaverAI/Cydonia-24B-v4y-GGUF TheDrummer/Cydonia-24B-v4.3
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-10-19
Maintainer	Naphula
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

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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 Cyberdonia 24B V8

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	21	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Asmodeus 24B V1	128K / 47.3 GB	112	15
Slimaki 24B V1	128K / 47.3 GB	15	10
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35