What are the hardware requirements for HMS Fusion 12B?

HMS Fusion 12B 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 HMS Fusion 12B and how large is it?

HMS Fusion 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 HMS Fusion 12B?

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

HMS Fusion 12B by yamatazen — VRAM 23.8GB, 128K context

Name: HMS Fusion 12B
Author: yamatazen

HMS Fusion 12B 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:shisa-ai/shisa-v2-m... Base model:yamatazen/himeyuri-... Conversational En Endpoints compatible Ja Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yamatazen/HMS-Fusion-12B

HMS Fusion 12B Parameters and Internals

LLM Name	HMS Fusion 12B
Repository 🤗	https://huggingface.co/yamatazen/HMS-Fusion-12B
Base Model(s)	Himeyuri Magnum 12B Shisa V2 Mistral Nemo 12B yamatazen/Himeyuri-Magnum-12B shisa-ai/shisa-v2-mistral-nemo-12b
Merged Model	Yes
Model Size	12b
Required VRAM	23.8 GB
Updated	2026-07-15
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	4.52.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the HMS Fusion 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

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