What are the hardware requirements for Twilight SCE 12B V2?

Twilight SCE 12B V2 requires approximately 24.5 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 Twilight SCE 12B V2 and how large is it?

Twilight SCE 12B V2 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 Twilight SCE 12B V2?

Twilight SCE 12B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Twilight SCE 12B V2 by yamatazen — VRAM 24.5GB, 128K context

Name: Twilight SCE 12B V2
Author: yamatazen

Twilight SCE 12B V2 is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Base model:elizezen/himeyuri-v... Base model:inflatebot/mn-12b-m... Base model:nbeerbower/mistral-... Base model:pocketdoc/dans-pers... Base model:yamatazen/himeyuri-... Base model:yamatazen/shisa-v2-... Chatml Conversational En Endpoints compatible Ja Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yamatazen/Twilight-SCE-12B-v2

Twilight SCE 12B V2 Parameters and Internals

LLM Name	Twilight SCE 12B V2
Repository 🤗	https://huggingface.co/yamatazen/Twilight-SCE-12B-v2
Base Model(s)	Elizezen/Himeyuri-v0.1-12B Mistral Nemo Gutenberg 12B V4 Himeyuri Magnum 12B PocketDoc/Dans-PersonalityEngine-V1.1.0-12b MN 12B Mag Mell R1 ...2 Mistral Nemo 12B Abliterated Elizezen/Himeyuri-v0.1-12B nbeerbower/mistral-nemo-gutenberg-12B-v4 yamatazen/Himeyuri-Magnum-12B PocketDoc/Dans-PersonalityEngine-V1.1.0-12b inflatebot/MN-12B-Mag-Mell-R1 yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-05-29
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	131072
Model Max Length	131072
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the Twilight SCE 12B V2 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 Twilight SCE 12B V2

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/Twilight-SCE-12B-v2.