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NeuralOmniBeagleMBX V3 7B by paulml

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NeuralOmniBeagleMBX 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, HF Score: 75.9, LLM Explorer Score: 0.13, Arc: 73.4, HellaSwag: 88.9, MMLU: 65, TruthfulQA: 73.1, WinoGrande: 84.2, GSM8K: 71.

  Merged Model Base model:flemmingmiguel/mbx-... Base model:mlabonne/neuralomni...   Endpoints compatible   Flemmingmiguel/mbx-7b-v3   Mistral   Mlabonne/neuralomnibeagle-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B 

NeuralOmniBeagleMBX V3 7B Benchmarks

ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 88.91 vs 95.3 (gpt4)-6.7%
MMLU: 64.99 vs 88.3 (so35)-26.4%
TruthfulQA: 73.1 vs 59 (gpt4)23.9%
WinoGrande: 84.21 vs 87.5 (gpt4)-3.8%
GSM8K: 70.96 vs 96.4 (so35)-26.4%
LLME Score: 0.12508
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralOmniBeagleMBX V3 7B (paulml/NeuralOmniBeagleMBX-v3-7B)
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NeuralOmniBeagleMBX V3 7B Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is a merge of NeuralOmniBeagle-7B and MBX-7B-v3 using the LazyMergekit with slerp method.
Input Output 
Input Format:
chat_template format
Accepted Modalities:
text
Output Format:
generated text
LLM NameNeuralOmniBeagleMBX V3 7B
Repository 🤗https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B 
Base Model(s)  NeuralOmniBeagle 7B   MBX 7B V3   mlabonne/NeuralOmniBeagle-7B   flemmingmiguel/MBX-7B-v3
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-03
Maintainerpaulml
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than paulml/NeuralOmniBeagleMBX-v3-7B.

Rank the NeuralOmniBeagleMBX 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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