MonarchLake 7B by macadeliccc

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  Merged Model   Autotrain compatible Base model:finetune:mlabonne/a... Base model:mlabonne/alphamonar...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

MonarchLake 7B Benchmarks

MonarchLake 7B (macadeliccc/MonarchLake-7B)

MonarchLake 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was merged using the SLERP merge method, combining capabilities from the AlphaMonarch-7B and WestLake-7b-v2-laser-truthy-dpo models.
LLM NameMonarchLake 7B
Repository ๐Ÿค—https://huggingface.co/macadeliccc/MonarchLake-7B 
Base Model(s)  macadeliccc/WestLake-7b-v2-laser-truthy-dpo   AlphaMonarch 7B   macadeliccc/WestLake-7b-v2-laser-truthy-dpo   mlabonne/AlphaMonarch-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-12-21
Maintainermacadeliccc
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

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