What are the hardware requirements for MBX 7B V3?

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

MBX 7B V3 is developed by flemmingmiguel, 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 MBX 7B V3 perform on standard benchmarks?

MBX 7B V3 has the following published scores: MMLU 65.06. Compare against reference models on this page or on the LLM Explorer leaderboards.

MBX 7B V3 by flemmingmiguel — VRAM 14.4GB, 32K context

Name: MBX 7B V3
Author: flemmingmiguel

MBX 7B V3 is an open-source language model by flemmingmiguel. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 74.2, HellaSwag: 88.9, MMLU: 65.1, GSM8K: 70.3.

Endpoints compatible Flemmingmiguel/mbx-7b Flemmingmiguel/mbx-7b-v3 Lazymergekit Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/flemmingmiguel/MBX-7B-v3

MBX 7B V3 Parameters and Internals

Model Type

merge

Additional Notes

Quantized GGUF version available.

Training Details

Methodology:

LazyMergekit merging of models

Input Output

Output Format:

text

LLM Name	MBX 7B V3
Repository 🤗	https://huggingface.co/flemmingmiguel/MBX-7B-v3
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-11
Maintainer	flemmingmiguel
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the MBX 7B V3 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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...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 flemmingmiguel/MBX-7B-v3.