What are the hardware requirements for Rotor 24B V.1?

Rotor 24B V.1 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 Rotor 24B V.1 and how large is it?

Rotor 24B V.1 is developed by OddTheGreat, 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 Rotor 24B V.1?

Rotor 24B V.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rotor 24B V.1 by OddTheGreat — VRAM 47.3GB, 128K context

Name: Rotor 24B V.1
Author: OddTheGreat

Rotor 24B V.1 is an open-source language model by OddTheGreat. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Merged, LLM Explorer Score: 0.21.

Merged Model Base model:cruciblelab/m3.2-24... Base model:delta-vector/ms3.2-... Base model:readyart/ms3.2-the-... Base model:zerofata/ms3.2-pain... Conversational Creative En Endpoints compatible Mistral Region:us Roleplay Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OddTheGreat/Rotor_24B_V.1

Rotor 24B V.1 Parameters and Internals

LLM Name	Rotor 24B V.1
Repository 🤗	https://huggingface.co/OddTheGreat/Rotor_24B_V.1
Base Model(s)	zerofata/MS3.2-PaintedFantasy-v2-24B ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0 CrucibleLab/M3.2-24B-Loki-V1.3 Delta-Vector/MS3.2-Austral-Winton zerofata/MS3.2-PaintedFantasy-v2-24B ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0 CrucibleLab/M3.2-24B-Loki-V1.3 Delta-Vector/MS3.2-Austral-Winton
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-24
Maintainer	OddTheGreat
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
Supported Languages	ru en
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

Rank the Rotor 24B V.1 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 Rotor 24B V.1

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	15	0
Morbid Miasma 24B	128K / 47.3 GB	33	9
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Zepar 24B V1	128K / 47.3 GB	36	3
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0
Magistry Painted Cydonia 24B	128K / 47.3 GB	60	2
Morax 24B V2	128K / 18.3 GB	57	2

Note: green Score (e.g. "73.2") means that the model is better than OddTheGreat/Rotor_24B_V.1.