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Phi2 Platypus by justinj92

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  Autotrain compatible   Custom code Dataset:garage-baind/open-plat...   En   Endpoints compatible   Gguf   Phi-msft   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/justinj92/phi2-platypus 

Phi2 Platypus Benchmarks

LLME Score: 0.15287
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi2 Platypus (justinj92/phi2-platypus)

Phi2 Platypus Parameters and Internals

Model Type 
SLM, text-generation
Additional Notes 
Environmental Impact reported: - Hardware Type: 1 VM with 2 A10 GPUs - Hours used: 20 Hours - Cloud Provider: Azure - Compute Region: South Central US - Carbon Emitted: 2.3 kgCO₂eq
Supported Languages 
English (NLP)
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Training Time:
4 Epochs
Hardware Used:
1 VM with 2 A10 GPUs
LLM NamePhi2 Platypus
Repository 🤗https://huggingface.co/justinj92/phi2-platypus 
Model Size2.8b
Required VRAM11.1 GB
Updated2025-01-25
Maintainerjustinj92
Model Typephi-msft
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   1.3 GB: 3-of-3   1.8 GB   2.1 GB   5.6 GB
Supported Languagesen
GGUF QuantizationYes
Gated ModelYes
Quantization Typegguf|q4|q4_k|q5_k
Model ArchitecturePhiForCausalLM
Licenseproprietary
Model Max Length2048
Transformers Version4.36.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than justinj92/phi2-platypus.

Rank the Phi2 Platypus Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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