What are the hardware requirements for Cogidonia 24B?

Cogidonia 24B requires approximately 95.3 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 Cogidonia 24B and how large is it?

Cogidonia 24B is developed by MRockatansky, 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 Cogidonia 24B?

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

Cogidonia 24B by MRockatansky — VRAM 95.3GB, 128K context

Name: Cogidonia 24B
Author: MRockatansky

Cogidonia 24B is an open-source language model by MRockatansky. Features: 24b LLM, VRAM: 95.3GB, Context: 128K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.23.

Merged Model Base model:mrockatansky/cogido... Base model:quantized:mrockatan... Conversational En Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/MRockatansky/Cogidonia-24B

Cogidonia 24B Parameters and Internals

LLM Name	Cogidonia 24B
Repository 🤗	https://huggingface.co/MRockatansky/Cogidonia-24B
Model Name	MRockatansky_Cogidonia-24B_1775530888
Base Model(s)	Cogidonia 24B MRockatansky/Cogidonia-24B
Merged Model	Yes
Model Size	24b
Required VRAM	95.3 GB
Updated	2026-07-18
Maintainer	MRockatansky
Model Type	mistral
Model Files	47.2 GB 2.7 GB: 1-of-22 4.9 GB: 2-of-22 4.5 GB: 3-of-22 4.5 GB: 4-of-22 4.5 GB: 5-of-22 4.5 GB: 6-of-22 4.5 GB: 7-of-22 4.5 GB: 8-of-22 4.5 GB: 9-of-22 4.5 GB: 10-of-22 4.5 GB: 11-of-22 4.5 GB: 12-of-22 4.5 GB: 13-of-22 4.5 GB: 14-of-22 4.5 GB: 15-of-22 4.5 GB: 16-of-22 4.5 GB: 17-of-22 4.5 GB: 18-of-22 4.5 GB: 19-of-22 4.5 GB: 20-of-22 4.5 GB: 21-of-22 2.2 GB: 22-of-22 0.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.0.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072

Rank the Cogidonia 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

Quantized Models of the Cogidonia 24B

Model	Likes	Downloads	VRAM
Cogidonia 24B	1	25	95 GB

Best Alternatives to Cogidonia 24B

Best Alternatives	Context / RAM	Downloads	Likes
...nstruct 2506 Text Only Heretic	128K / 47.3 GB	156	1
Goetia 24B V1.4	128K / 47.3 GB	320	7
...uau Devstral 24B Instruct V0.1	128K / 47.3 GB	1229	4
Grok Oss Apollyon 24B	32K / 47.3 GB	2422	5
...l Small 24B Instruct 2501 GGUF	32K / 8.9 GB	6582	28
Sarvam M 24B Q5 K M Gguf	32K / 16.8 GB	66	2
Morbid Miasma 24B Mlx 8Bit	128K / 25 GB	40	2
Devstral Small 2507 Bnb 4bit	128K / 14.2 GB	398	1
...al Small 2507 Unsloth Bnb 4bit	128K / 15 GB	128	5
...al Small 2506 Unsloth Bnb 4bit	40K / 15 GB	109	4

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