What are the hardware requirements for The Omega Directive 12B EVISCERATED?

The Omega Directive 12B EVISCERATED requires approximately 21.2 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 The Omega Directive 12B EVISCERATED and how large is it?

The Omega Directive 12B EVISCERATED is developed by SuperbEmphasis, 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 The Omega Directive 12B EVISCERATED?

The Omega Directive 12B EVISCERATED is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

The Omega Directive 12B EVISCERATED by SuperbEmphasis — VRAM 21.2GB, 1000K context

Name: The Omega Directive 12B EVISCERATED
Author: SuperbEmphasis

The Omega Directive 12B EVISCERATED is an open-source language model by SuperbEmphasis. Features: 12b LLM, VRAM: 21.2GB, Context: 1000K, LLM Explorer Score: 0.18.

Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SuperbEmphasis/The-Omega-Directive-12B-EVISCERATED

The Omega Directive 12B EVISCERATED Parameters and Internals

LLM Name	The Omega Directive 12B EVISCERATED
Repository 🤗	https://huggingface.co/SuperbEmphasis/The-Omega-Directive-12B-EVISCERATED
Model Size	12b
Required VRAM	21.2 GB
Updated	2026-06-28
Maintainer	SuperbEmphasis
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 1.6 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	131072
Torch Data Type	bfloat16

Rank the The Omega Directive 12B EVISCERATED 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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Note: green Score (e.g. "73.2") means that the model is better than SuperbEmphasis/The-Omega-Directive-12B-EVISCERATED.