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NeuralOmniWestBeaglake 7B by paulml

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  Merged Model   Autotrain compatible Base model:mlabonne/neuralomni... Base model:shadowml/beaglake-7... Base model:shadowml/westbeagle...   Endpoints compatible   License:cc-by-nc-4.0   Mistral   Mlabonne/neuralomnibeagle-7b   Region:us   Safetensors   Shadowml/beaglake-7b   Shadowml/westbeagle-7b   Sharded   Tensorflow

NeuralOmniWestBeaglake 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  
NeuralOmniWestBeaglake 7B (paulml/NeuralOmniWestBeaglake-7B)

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

NeuralOmniWestBeaglake 7B Parameters and Internals

LLM NameNeuralOmniWestBeaglake 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  WestBeagle 7B   Beaglake 7B   NeuralOmniBeagle 7B   shadowml/WestBeagle-7B   shadowml/Beaglake-7B   mlabonne/NeuralOmniBeagle-7B
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 Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003