What are the hardware requirements for Forgotten Abomination 24B V2.2?

Forgotten Abomination 24B V2.2 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 Forgotten Abomination 24B V2.2 and how large is it?

Forgotten Abomination 24B V2.2 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 Forgotten Abomination 24B V2.2?

Forgotten Abomination 24B V2.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Forgotten Abomination 24B V2.2 by ReadyArt — VRAM 47.3GB, 32K context

Name: Forgotten Abomination 24B V2.2
Author: ReadyArt

Forgotten Abomination 24B V2.2 is an open-source language model by ReadyArt. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2311.03099 Base model:readyart/forgotten-... Base model:thedrummer/cydonia-... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ReadyArt/Forgotten-Abomination-24B-V2.2

Forgotten Abomination 24B V2.2 Parameters and Internals

LLM Name	Forgotten Abomination 24B V2.2
Repository 🤗	https://huggingface.co/ReadyArt/Forgotten-Abomination-24B-V2.2
Base Model(s)	ReadyArt/Forgotten-Safeword-24B-V2.2 Cydonia 24B V2 ReadyArt/Forgotten-Safeword-24B-V2.2 TheDrummer/Cydonia-24B-v2
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-18
Maintainer	ReadyArt
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
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Forgotten Abomination 24B V2.2 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 Forgotten Abomination 24B V2.2

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
Ouroboros 24B V1.4	128K / 47.3 GB	248	5
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Morbid Miasma 24B	128K / 47.3 GB	366	16
Doppelganger Twist 24B	128K / 47.3 GB	339	0
Zepar 24B V1	128K / 47.3 GB	200	5
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0

Note: green Score (e.g. "73.2") means that the model is better than ReadyArt/Forgotten-Abomination-24B-V2.2.