What are the hardware requirements for NeuTrixOmniBe 7B Model Remix?

NeuTrixOmniBe 7B Model Remix requires approximately 14.4 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 NeuTrixOmniBe 7B Model Remix and how large is it?

NeuTrixOmniBe 7B Model Remix is developed by Kukedlc, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuTrixOmniBe 7B Model Remix perform on standard benchmarks?

NeuTrixOmniBe 7B Model Remix has the following published scores: MMLU 64.63. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuTrixOmniBe 7B Model Remix by Kukedlc — VRAM 14.4GB, 32K context

Name: NeuTrixOmniBe 7B Model Remix
Author: Kukedlc

NeuTrixOmniBe 7B Model Remix is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.11, Arc: 72.6, HellaSwag: 89.1, MMLU: 64.6, GSM8K: 69.1.

Merged Model Base model:cultrix/neuraltrix-... Base model:paulml/omnibeaglesq... Cultrix/neuraltrix-7b-dpo Endpoints compatible Mistral Model-index Paulml/omnibeaglesquaredmbx-v3... Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuTrixOmniBe-7B-model-remix

NeuTrixOmniBe 7B Model Remix Parameters and Internals

Model Type

text-generation

Additional Notes

Model is created using LazyMergekit and merges CultriX/NeuralTrix-7B-dpo and paulml/OmniBeagleSquaredMBX-v3-7B-v2 models.

LLM Name	NeuTrixOmniBe 7B Model Remix
Repository 🤗	https://huggingface.co/Kukedlc/NeuTrixOmniBe-7B-model-remix
Base Model(s)	NeuralTrix 7B DPO OmniBeagleSquaredMBX V3 7B V2 CultriX/NeuralTrix-7B-dpo paulml/OmniBeagleSquaredMBX-v3-7B-v2
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-06
Maintainer	Kukedlc
Model Type	mistral
Model Files	1.9 GB: 1-of-8 2.0 GB: 2-of-8 1.9 GB: 3-of-8 2.0 GB: 4-of-8 1.8 GB: 5-of-8 1.9 GB: 6-of-8 2.0 GB: 7-of-8 0.9 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the NeuTrixOmniBe 7B Model Remix capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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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 Kukedlc/NeuTrixOmniBe-7B-model-remix.