Dolphin Phi 2 Kensho by cognitivecomputations

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  Arxiv:2402.14905   Autotrain compatible   Conversational   Custom code   Endpoints compatible   Phi-msft   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Dolphin Phi 2 Kensho Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin Phi 2 Kensho (cognitivecomputations/dolphin-phi-2-kensho)

Dolphin Phi 2 Kensho Parameters and Internals

Model Type 
Language Model
Additional Notes 
This model utilizes a hack combining PyTorch with the Huggingface Transformers library to mimic behaviors of large models like MegaDolphin 120b while using significantly less vRAM by sharing weights instead of cloning.
LLM NameDolphin Phi 2 Kensho
Repository ๐Ÿค—https://huggingface.co/cognitivecomputations/dolphin-phi-2-kensho 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-22
Maintainercognitivecomputations
Model Typephi-msft
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Licensemit
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/dolphin-phi-2-kensho.

Rank the Dolphin Phi 2 Kensho 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