What are the hardware requirements for Llama 3.1 8B Instruct Abliterated Obliteratus?

Llama 3.1 8B Instruct Abliterated Obliteratus requires approximately 16.1 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 Llama 3.1 8B Instruct Abliterated Obliteratus and how large is it?

Llama 3.1 8B Instruct Abliterated Obliteratus is developed by richardyoung, a model with 8b 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 Llama 3.1 8B Instruct Abliterated Obliteratus?

Llama 3.1 8B Instruct Abliterated Obliteratus is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct Abliterated Obliteratus by richardyoung — VRAM 16.1GB, 128K context

Name: Llama 3.1 8B Instruct Abliterated Obliteratus
Author: richardyoung

Llama 3.1 8B Instruct Abliterated Obliteratus is an open-source language model by richardyoung. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:2512.13655 Abliteration Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational En Endpoints compatible Instruct Llama Model-index Obliteratus Refusal-removal Region:us Representation-engineering Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/richardyoung/Llama-3.1-8B-Instruct-abliterated-obliteratus

Llama 3.1 8B Instruct Abliterated Obliteratus Parameters and Internals

LLM Name	Llama 3.1 8B Instruct Abliterated Obliteratus
Repository 🤗	https://huggingface.co/richardyoung/Llama-3.1-8B-Instruct-abliterated-obliteratus
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-10-01
Maintainer	richardyoung
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-9 1.9 GB: 2-of-9 2.0 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.3 GB: 8-of-9 1.1 GB: 9-of-9
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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