What are the hardware requirements for NeonMaid 12B V2?

NeonMaid 12B V2 requires approximately 23.8 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 NeonMaid 12B V2 and how large is it?

NeonMaid 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 NeonMaid 12B V2?

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

NeonMaid 12B V2 by yamatazen — VRAM 23.8GB, 128K context

Name: NeonMaid 12B V2
Author: yamatazen

NeonMaid 12B V2 is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 23.8GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:yamatazen/neonmaid-... Base model:yamatazen/orihime-g... Chatml Conversational En Endpoints compatible Ja Mistral Region:us Safetensors Sharded Tensorflow

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

NeonMaid 12B V2 Parameters and Internals

LLM Name	NeonMaid 12B V2
Repository 🤗	https://huggingface.co/yamatazen/NeonMaid-12B-v2
Base Model(s)	NeonMaid 12B Orihime Gutenberg 12B yamatazen/NeonMaid-12B yamatazen/Orihime-Gutenberg-12B
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-07-19
Maintainer	yamatazen
Model Type	mistral
Model Files	1.3 GB: 1-of-25 1.3 GB: 2-of-25 1.0 GB: 3-of-25 0.9 GB: 4-of-25 0.9 GB: 5-of-25 0.9 GB: 6-of-25 1.0 GB: 7-of-25 0.9 GB: 8-of-25 0.9 GB: 9-of-25 0.9 GB: 10-of-25 1.0 GB: 11-of-25 0.9 GB: 12-of-25 0.9 GB: 13-of-25 0.9 GB: 14-of-25 1.0 GB: 15-of-25 0.9 GB: 16-of-25 0.9 GB: 17-of-25 0.9 GB: 18-of-25 1.0 GB: 19-of-25 0.9 GB: 20-of-25 0.9 GB: 21-of-25 0.9 GB: 22-of-25 1.0 GB: 23-of-25 0.9 GB: 24-of-25 0.8 GB: 25-of-25
Supported Languages	en ja
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the NeonMaid 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

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Note: green Score (e.g. "73.2") means that the model is better than yamatazen/NeonMaid-12B-v2.