What are the hardware requirements for FusionEngine 12B Lorablated?

FusionEngine 12B Lorablated 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 FusionEngine 12B Lorablated and how large is it?

FusionEngine 12B Lorablated 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 Lorablated?

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

FusionEngine 12B Lorablated by yamatazen — VRAM 24.5GB, 1000K context

Name: FusionEngine 12B Lorablated
Author: yamatazen

FusionEngine 12B Lorablated is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, LLM Explorer Score: 0.18.

Base model:merge:nbeerbower/mi... Base model:merge:yamatazen/fus... Base model:nbeerbower/mistral-... Base model:yamatazen/fusioneng... Conversational Endpoints compatible Lora Lorablated Merge Mistral Region:us Safetensors Sharded Tensorflow

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

FusionEngine 12B Lorablated Parameters and Internals

LLM Name	FusionEngine 12B Lorablated
Repository 🤗	https://huggingface.co/yamatazen/FusionEngine-12B-Lorablated
Base Model(s)	FusionEngine 12B ...tral Nemo 12B Abliterated LORA yamatazen/FusionEngine-12B nbeerbower/Mistral-Nemo-12B-abliterated-LORA
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-05
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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the FusionEngine 12B Lorablated 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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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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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
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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/FusionEngine-12B-Lorablated.