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Phi 2 by microsoft

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Model Card on HF 🤗: https://huggingface.co/microsoft/phi-2 

Phi 2 Benchmarks

MMLU Pro: 18.09
GPQA: 2.91
MUSR: 13.84
BBH: 28.04
IFEval: 27.39 vs 88 (so35)-68.9%
ARC: 61.01 vs 96.7 (so35)-36.9%
HellaSwag: 74.92 vs 95.3 (gpt4)-21.4%
MMLU: 57.92 vs 88.3 (so35)-34.4%
TruthfulQA: 44.24 vs 59 (gpt4)-25%
WinoGrande: 73.48 vs 87.5 (gpt4)-16%
GSM8K: 54.97 vs 96.4 (so35)-43%
MATH Lvl 5: 2.57
LLME Score: 0.39547
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 (microsoft/phi-2)

Phi 2 Parameters and Internals

Model Type 
text generation, code generation
Use Cases 
Areas:
research
Applications:
QA, chat, code format
Primary Use Cases:
QA format, chat format, code format
Limitations:
Generate Inaccurate Code and Facts, Limited Scope for code, Unreliable Responses to Instruction, Language Limitations, Potential Societal Biases, Toxicity, Verbosity
Additional Notes 
Phi-2 is intended for QA, chat, and code purposes. Model-generated text/code should be treated as a starting point. Users should be cautious when employing these models in applications.
Supported Languages 
en (Standard English)
Training Details 
Data Sources:
Phi-1.5, NLP synthetic texts, filtered websites
Data Volume:
250B tokens
Methodology:
Transformer-based model with next-word prediction objective
Context Length:
2048
Training Time:
14 days
Hardware Used:
96xA100-80G GPUs
Model Architecture:
Transformer-based model with next-word prediction objective
Input Output 
Accepted Modalities:
text
Performance Tips:
Phi-2 has an attention overflow issue (with FP16). If encountering this issue, enable/disable autocast on the PhiAttention.forward() function.
LLM NamePhi 2
Repository 🤗https://huggingface.co/microsoft/phi-2 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-05
Maintainermicrosoft
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.37.0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16

Quantized Models of the Phi 2

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Phi 2 GGUF19522003091 GB
Phi 2 GPTQ2914931 GB
Phi 2 GGUF63111 GB
Damysus 2.7B Chat GGUF0211 GB
Phi2 Bunny2185 GB
Phi 2 GGUF2861 GB

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Rank the Phi 2 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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