What are the hardware requirements for NeuralStar Fusion 7B?

NeuralStar Fusion 7B requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NeuralStar Fusion 7B and how large is it?

NeuralStar Fusion 7B is developed by OmnicromsBrain, a model with 7b 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 NeuralStar Fusion 7B?

NeuralStar Fusion 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NeuralStar Fusion 7B by OmnicromsBrain — VRAM 14.5GB, 32K context

Name: NeuralStar Fusion 7B
Author: OmnicromsBrain

NeuralStar Fusion 7B is an open-source language model by OmnicromsBrain. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:omnicromsbrain/neur... Base model:omnicromsbrain/stor... Endpoints compatible Mistral Omnicromsbrain/neuralstar-7b-l... Omnicromsbrain/storyfusion-7b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OmnicromsBrain/NeuralStar_Fusion-7B

NeuralStar Fusion 7B Parameters and Internals

Additional Notes

NeuralStar_Fusion-7B is a merged model derived from OmnicromsBrain/NeuralStar-7b-Lazy and OmnicromsBrain/StoryFusion-7B. It uses a configuration where certain layers from both base models are combined using the slerp merge method.

LLM Name	NeuralStar Fusion 7B
Repository 🤗	https://huggingface.co/OmnicromsBrain/NeuralStar_Fusion-7B
Base Model(s)	NeuralStar 7B Lazy StoryFusion 7B OmnicromsBrain/NeuralStar-7b-Lazy OmnicromsBrain/StoryFusion-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-14
Maintainer	OmnicromsBrain
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.7 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the NeuralStar Fusion 7B 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 NeuralStar Fusion 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than OmnicromsBrain/NeuralStar_Fusion-7B.