What are the hardware requirements for Circuitry 24B V.2?

Circuitry 24B V.2 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 Circuitry 24B V.2 and how large is it?

Circuitry 24B V.2 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 Circuitry 24B V.2?

Circuitry 24B V.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Circuitry 24B V.2 by OddTheGreat — VRAM 47.3GB, 128K context

Name: Circuitry 24B V.2
Author: OddTheGreat

Circuitry 24B V.2 is an open-source language model by OddTheGreat. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, Merged, LLM Explorer Score: 0.2.

Merged Model Base model:delta-vector/rei-24... Base model:thedrummer/cydonia-... Base model:zerofata/ms3.2-pain... Creative En Endpoints compatible Region:us Roleplay Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OddTheGreat/Circuitry_24B_V.2

Circuitry 24B V.2 Parameters and Internals

LLM Name	Circuitry 24B V.2
Repository 🤗	https://huggingface.co/OddTheGreat/Circuitry_24B_V.2
Base Model(s)	Rei 24B KTO zerofata/MS3.2-PaintedFantasy-v2-24B TheDrummer/Cydonia-24B-v4.1 Delta-Vector/Rei-24B-KTO zerofata/MS3.2-PaintedFantasy-v2-24B TheDrummer/Cydonia-24B-v4.1
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-14
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	131072
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float16

Rank the Circuitry 24B V.2 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 Circuitry 24B V.2

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	22	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/Circuitry_24B_V.2.