What are the hardware requirements for OmniBeagleMBX V3 7B?

OmniBeagleMBX V3 7B 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 OmniBeagleMBX V3 7B and how large is it?

OmniBeagleMBX V3 7B is developed by paulml, 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 OmniBeagleMBX V3 7B perform on standard benchmarks?

OmniBeagleMBX V3 7B has the following published scores: MMLU 64.66. Compare against reference models on this page or on the LLM Explorer leaderboards.

OmniBeagleMBX V3 7B by paulml — VRAM 14.4GB, 32K context

Name: OmniBeagleMBX V3 7B
Author: paulml

OmniBeagleMBX V3 7B is an open-source language model by paulml. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Merged, LLM Explorer Score: 0.11, Arc: 73.8, HellaSwag: 89.1, MMLU: 64.7, GSM8K: 69.3.

Merged Model Base model:flemmingmiguel/mbx-... Base model:mlabonne/omnibeagle... Endpoints compatible Flemmingmiguel/mbx-7b-v3 Mistral Mlabonne/omnibeagle-7b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/paulml/OmniBeagleMBX-v3-7B

OmniBeagleMBX V3 7B Parameters and Internals

Additional Notes

OmniBeagleMBX-v3-7B is a merged model using LazyMergeKit from mlabonne/OmniBeagle-7B and flemmingmiguel/MBX-7B-v3.

LLM Name	OmniBeagleMBX V3 7B
Repository 🤗	https://huggingface.co/paulml/OmniBeagleMBX-v3-7B
Base Model(s)	OmniBeagle 7B MBX 7B V3 mlabonne/OmniBeagle-7B flemmingmiguel/MBX-7B-v3
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-07
Maintainer	paulml
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the OmniBeagleMBX V3 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

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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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 paulml/OmniBeagleMBX-v3-7B.