What are the hardware requirements for Morax 24B V2?

Morax 24B V2 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 Morax 24B V2 and how large is it?

Morax 24B V2 is developed by DarkArtsForge, 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 Morax 24B V2?

Morax 24B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Morax 24B V2 by DarkArtsForge — VRAM 47.3GB, 128K context

Name: Morax 24B V2
Author: DarkArtsForge

Morax 24B V2 is an open-source language model by DarkArtsForge. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2406.11617 Base model:darkhn/magistral-25... Base model:naphula/beaverai fa... Base model:thedrummer/precog-2... Conversational Della Endpoints compatible Mistral Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DarkArtsForge/Morax-24B-v2

Morax 24B V2 Parameters and Internals

LLM Name	Morax 24B V2
Repository 🤗	https://huggingface.co/DarkArtsForge/Morax-24B-v2
Base Model(s)	Magistral 2509 24B Text Only Precog 24B V1 Naphula/BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly Darkhn/Magistral-2509-24B-Text-Only TheDrummer/Precog-24B-v1 Naphula/BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-24
Maintainer	DarkArtsForge
Model Type	mistral
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
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131076

Rank the Morax 24B V2 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 Morax 24B V2

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Ouroboros 24B V1.4	128K / 47.3 GB	217	5
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Morbid Miasma 24B	128K / 47.3 GB	333	16
Doppelganger Twist 24B	128K / 47.3 GB	332	0
Zepar 24B V1	128K / 47.3 GB	207	5
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0

Note: green Score (e.g. "73.2") means that the model is better than DarkArtsForge/Morax-24B-v2.