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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   License:cc-by-nc-4.0   Mistral   Mlabonne/neuralomnibeagle-7b   Region:us   Safetensors   Sharded   Tensorflow

NeuralOmniBeagleMBX V3 7B Benchmarks

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

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

NeuralOmniBeagleMBX V3 7B Parameters and Internals

LLM NameNeuralOmniBeagleMBX V3 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  NeuralOmniBeagle 7B   MBX 7B V3   mlabonne/NeuralOmniBeagle-7B   flemmingmiguel/MBX-7B-v3
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
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
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003