Boptruth NeuralMonarch 7B by theprint

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  Merged Model Base model:mlabonne/neuralmona... Base model:nbeerbower/bophades...   Endpoints compatible   Gguf   License:apache-2.0   Mistral   Mlabonne/neuralmonarch-7b Nbeerbower/bophades-mistral-tr...   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Rank the Boptruth NeuralMonarch 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  
Boptruth NeuralMonarch 7B (theprint/Boptruth-NeuralMonarch-7B)

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

Boptruth NeuralMonarch 7B Parameters and Internals

LLM NameBoptruth NeuralMonarch 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Bophades Mistral Truthy DPO 7B   NeuralMonarch 7B   nbeerbower/bophades-mistral-truthy-DPO-7B   mlabonne/NeuralMonarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Model Typemistral
Model Files  14.5 GB   4.4 GB   5.1 GB   5.9 GB   7.7 GB   1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token<unk>

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801