What are the hardware requirements for FusionEngine 12B?

FusionEngine 12B requires approximately 23.8 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 FusionEngine 12B and how large is it?

FusionEngine 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 FusionEngine 12B?

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

FusionEngine 12B by yamatazen — VRAM 23.8GB, 1000K context

Name: FusionEngine 12B
Author: yamatazen

FusionEngine 12B is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:delta-vector/franco... Base model:pocketdoc/dans-pers... Chatml Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

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

FusionEngine 12B Parameters and Internals

LLM Name	FusionEngine 12B
Repository 🤗	https://huggingface.co/yamatazen/FusionEngine-12B
Base Model(s)	Francois PE V2 Huali 12B PocketDoc/Dans-PersonalityEngine-V1.1.0-12b Delta-Vector/Francois-PE-V2-Huali-12B PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.52.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the FusionEngine 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/FusionEngine-12B.