NeuralOmniBeagleMBX V3 7B by paulml

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

NeuralOmniBeagleMBX V3 7B Benchmarks

NeuralOmniBeagleMBX V3 7B (paulml/NeuralOmniBeagleMBX-v3-7B)

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 ๐Ÿค—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
Updated2024-12-26
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.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217