What are the hardware requirements for Aura Revived Base?

Aura Revived Base requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aura Revived Base and how large is it?

Aura Revived Base is developed by jeiku, 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 Aura Revived Base?

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

Aura Revived Base by jeiku — VRAM 16.1GB, 8K context

Name: Aura Revived Base
Author: jeiku

Aura Revived Base is an open-source language model by jeiku. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, Instruction-Based, Merged, LLM Explorer Score: 0.13.

Merged Model Base model:failspy/llama-3-8b-... Base model:undi95/llama3-unhol... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeiku/Aura_Revived_Base

Aura Revived Base Parameters and Internals

Model Type

transformers

Additional Notes

This model is a merge of two pre-trained language models using the SLERP method.

Training Details

Methodology:

SLERP merge method

LLM Name	Aura Revived Base
Repository 🤗	https://huggingface.co/jeiku/Aura_Revived_Base
Base Model(s)	Llama3 Unholy 8B OAS Llama 3 8B Instruct MopeyMule Undi95/Llama3-Unholy-8B-OAS failspy/Llama-3-8B-Instruct-MopeyMule
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-05-20
Maintainer	jeiku
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Aura Revived Base 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 Aura Revived Base

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

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