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Phi 2 OpenHermes 2.5 by minghaowu

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  Autotrain compatible Base model:finetune:microsoft/...   Base model:microsoft/phi-2   Custom code   Dataset:teknium/openhermes-2.5   Endpoints compatible   Generated from trainer   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/minghaowu/phi-2-OpenHermes-2.5 

Phi 2 OpenHermes 2.5 Benchmarks

ARC: 56.48 vs 96.7 (so35)-41.6%
HellaSwag: 73.88 vs 95.3 (gpt4)-22.5%
MMLU: 54.8 vs 88.3 (so35)-37.9%
TruthfulQA: 48.1 vs 59 (gpt4)-18.5%
WinoGrande: 73.01 vs 87.5 (gpt4)-16.6%
LLME Score: 0.16504
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 OpenHermes 2.5 (minghaowu/phi-2-OpenHermes-2.5)
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Phi 2 OpenHermes 2.5 Parameters and Internals

Training Details 
Data Sources:
teknium/OpenHermes-2.5
Hardware Used:
multi-GPU
LLM NamePhi 2 OpenHermes 2.5
Repository 🤗https://huggingface.co/minghaowu/phi-2-OpenHermes-2.5 
Base Model(s)  Phi 2   microsoft/phi-2
Model Size2.8b
Required VRAM5.6 GB
Updated2024-12-08
Maintainerminghaowu
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2   0.0 GB
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than minghaowu/phi-2-OpenHermes-2.5.

Rank the Phi 2 OpenHermes 2.5 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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Release v20241124
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