What are the hardware requirements for L3.3 The Omega Directive 70B Unslop V2.0?

L3.3 The Omega Directive 70B Unslop V2.0 requires approximately 141.9 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 L3.3 The Omega Directive 70B Unslop V2.0 and how large is it?

L3.3 The Omega Directive 70B Unslop V2.0 is developed by ReadyArt, a model with 70b 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 L3.3 The Omega Directive 70B Unslop V2.0?

L3.3 The Omega Directive 70B Unslop V2.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3.3 The Omega Directive 70B Unslop V2.0 by ReadyArt — VRAM 141.9GB, 128K context

Name: L3.3 The Omega Directive 70B Unslop V2.0
Author: ReadyArt

L3.3 The Omega Directive 70B Unslop V2.0 is an open-source language model by ReadyArt. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3, LLM Explorer Score: 0.19.

Base model:finetune:steelskull... Base model:steelskull/l3.3-ms-... Conversational En Erotic Erp Explicit Horror Llama Nsfw Region:us Roleplay Safetensors Sharded Tensorflow Unaligned Violence

Model Card on HF 🤗: https://huggingface.co/ReadyArt/L3.3-The-Omega-Directive-70B-Unslop-v2.0

L3.3 The Omega Directive 70B Unslop V2.0 Parameters and Internals

LLM Name	L3.3 The Omega Directive 70B Unslop V2.0
Repository 🤗	https://huggingface.co/ReadyArt/L3.3-The-Omega-Directive-70B-Unslop-v2.0
Base Model(s)	Steelskull/L3.3-MS-Nevoria-70b Steelskull/L3.3-MS-Nevoria-70b
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-10-06
Maintainer	ReadyArt
Model Type	llama
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.0 GB: 30-of-30
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3.3 The Omega Directive 70B Unslop V2.0 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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