What are the hardware requirements for Apparatus 24B?

Apparatus 24B requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Apparatus 24B and how large is it?

Apparatus 24B 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 Apparatus 24B?

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

Apparatus 24B by OddTheGreat — VRAM 47.3GB, 32K context

Name: Apparatus 24B
Author: OddTheGreat

Apparatus 24B is an open-source language model by OddTheGreat. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:oddthegreat/machina... Base model:pocketdoc/dans-pers... Base model:readyart/forgotten-... Base model:thedrummer/cydonia-... Conversational Creative En Endpoints compatible Mistral Region:us Roleplay Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OddTheGreat/Apparatus_24B

Apparatus 24B Parameters and Internals

LLM Name	Apparatus 24B
Repository 🤗	https://huggingface.co/OddTheGreat/Apparatus_24B
Base Model(s)	OddTheGreat/Machina_24B.V2 PocketDoc/Dans-PersonalityEngine-V1.2.0-24b Forgotten Safeword 24B Cydonia 24B V2 OddTheGreat/Machina_24B.V2 PocketDoc/Dans-PersonalityEngine-V1.2.0-24b ReadyArt/Forgotten-Safeword-24B TheDrummer/Cydonia-24B-v2
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-05
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	en ru
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	131074
Torch Data Type	float16

Rank the Apparatus 24B 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 Apparatus 24B

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Chaotic Order 24B V3	128K / 47.3 GB	247	1
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	24	0
Chaotic Harmony 24B	128K / 47.3 GB	193	0
DeepWater Pleroma 24B V1	128K / 47.3 GB	151	1
Spoomplesmaxx Thrasher 24B	128K / 46.9 GB	932	3
Chaotic Order 24B V1	128K / 47.3 GB	479	0
Priest 24B V0	128K / 47.3 GB	42	1
Chaotic Order 24B V2	128K / 47.3 GB	132	4
Morbid Miasma 24B	128K / 47.3 GB	82	17

Note: green Score (e.g. "73.2") means that the model is better than OddTheGreat/Apparatus_24B.