What are the hardware requirements for MS3.2 The Omega Directive 24B Unslop V2.0?

MS3.2 The Omega Directive 24B Unslop V2.0 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 MS3.2 The Omega Directive 24B Unslop V2.0 and how large is it?

MS3.2 The Omega Directive 24B Unslop V2.0 is developed by ReadyArt, 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 MS3.2 The Omega Directive 24B Unslop V2.0?

MS3.2 The Omega Directive 24B Unslop V2.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MS3.2 The Omega Directive 24B Unslop V2.0 by ReadyArt — VRAM 47.3GB, 128K context

Name: MS3.2 The Omega Directive 24B Unslop V2.0
Author: ReadyArt

MS3.2 The Omega Directive 24B Unslop V2.0 is an open-source language model by ReadyArt. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:anthracite-core/mis... Base model:finetune:anthracite... Conversational En Erotic Erp Explicit Horror Instruct Mistral Nsfw Region:us Roleplay Safetensors Sharded Tensorflow Unaligned Violence

Model Card on HF 🤗: https://huggingface.co/ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0

MS3.2 The Omega Directive 24B Unslop V2.0 Parameters and Internals

LLM Name	MS3.2 The Omega Directive 24B Unslop V2.0
Repository 🤗	https://huggingface.co/ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
Base Model(s)	anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-09-23
Maintainer	ReadyArt
Model Type	mistral
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-10 4.8 GB: 2-of-10 4.9 GB: 3-of-10 4.8 GB: 4-of-10 4.8 GB: 5-of-10 4.9 GB: 6-of-10 4.8 GB: 7-of-10 4.8 GB: 8-of-10 4.9 GB: 9-of-10 4.6 GB: 10-of-10
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MS3.2 The Omega Directive 24B Unslop V2.0 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 MS3.2 The Omega Directive 24B Unslop V2.0

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	12	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
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	45	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35

Note: green Score (e.g. "73.2") means that the model is better than ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.