Soliloquy 7B V3 by openlynn

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  Pytorch   Qwen2   Region:us   Sharded

Soliloquy 7B V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Soliloquy 7B V3 (openlynn/Soliloquy-7B-v3)

Soliloquy 7B V3 Parameters and Internals

LLM NameSoliloquy 7B V3
Repository ๐Ÿค—https://huggingface.co/openlynn/Soliloquy-7B-v3 
Model Size7b
Required VRAM15.2 GB
Updated2024-09-03
Maintaineropenlynn
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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

Rank the Soliloquy 7B V3 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 v20241227