What are the hardware requirements for Aurora SCE 12B?

Aurora SCE 12B 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 Aurora SCE 12B and how large is it?

Aurora SCE 12B is developed by yamatazen, 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 Aurora SCE 12B?

Aurora SCE 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aurora SCE 12B by yamatazen — VRAM 24.5GB, 1000K context

Name: Aurora SCE 12B
Author: yamatazen

Aurora SCE 12B is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2408.07990 Base model:elizezen/himeyuri-v... Base model:inflatebot/mn-12b-m... Base model:latitudegames/wayfa... Base model:nbeerbower/mistral-... Base model:neversleep/lumimaid... Base model:pocketdoc/dans-pers... Chatml Conversational En Endpoints compatible Ja Lora Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yamatazen/Aurora-SCE-12B

Aurora SCE 12B Parameters and Internals

LLM Name	Aurora SCE 12B
Repository 🤗	https://huggingface.co/yamatazen/Aurora-SCE-12B
Base Model(s)	Wayfarer 12B NeverSleep/Lumimaid-v0.2-12B Elizezen/Himeyuri-v0.1-12B MN 12B Mag Mell R1 PocketDoc/Dans-PersonalityEngine-V1.1.0-12b ...tral Nemo 12B Abliterated LORA LatitudeGames/Wayfarer-12B NeverSleep/Lumimaid-v0.2-12B Elizezen/Himeyuri-v0.1-12B inflatebot/MN-12B-Mag-Mell-R1 PocketDoc/Dans-PersonalityEngine-V1.1.0-12b nbeerbower/Mistral-Nemo-12B-abliterated-LORA
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-01
Maintainer	yamatazen
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
Supported Languages	en ja
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Aurora SCE 12B 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

Best Alternatives to Aurora SCE 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
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 yamatazen/Aurora-SCE-12B.