What are the hardware requirements for Abomimegadarkgasinalgottenevereamession?

Abomimegadarkgasinalgottenevereamession requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Abomimegadarkgasinalgottenevereamession and how large is it?

Abomimegadarkgasinalgottenevereamession is developed by ReadyArt, a model with 12b 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 Abomimegadarkgasinalgottenevereamession?

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

Abomimegadarkgasinalgottenevereamession by ReadyArt — VRAM 24.5GB, 1000K context

Name: Abomimegadarkgasinalgottenevereamession
Author: ReadyArt

Abomimegadarkgasinalgottenevereamession is an open-source language model by ReadyArt. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2311.03099 Autotrain compatible Base model:nbeerbower/mistral-... Base model:readyart/forgotten-... Base model:readyart/the-omega-... Base model:thedrummer/unslopne... Base model:trappu/magnum-picar... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ReadyArt/Abomimegadarkgasinalgottenevereamession

Abomimegadarkgasinalgottenevereamession Parameters and Internals

LLM Name	Abomimegadarkgasinalgottenevereamession
Repository 🤗	https://huggingface.co/ReadyArt/Abomimegadarkgasinalgottenevereamession
Base Model(s)	Mistral Nemo Gutenberg 12B UnslopNemo 12B V3 ReadyArt/Forgotten-Safeword-12B-V3.0 Trappu/Magnum-Picaro-0.7-v2-12b ReadyArt/The-Omega-Directive-M-12B-v1.0 nbeerbower/mistral-nemo-gutenberg-12B TheDrummer/UnslopNemo-12B-v3 ReadyArt/Forgotten-Safeword-12B-V3.0 Trappu/Magnum-Picaro-0.7-v2-12b ReadyArt/The-Omega-Directive-M-12B-v1.0
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-09-23
Maintainer	ReadyArt
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	</s>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Abomimegadarkgasinalgottenevereamession capabilities

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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

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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

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