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Phi 1 5 by microsoft

 »  All LLMs  »  microsoft  »  Phi 1 5   URL Share it on

  132904   
  Arxiv:2309.05463   Autotrain compatible   Code   En   Endpoints compatible   Phi   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/microsoft/phi-1_5 

Phi 1 5 Benchmarks

MMLU Pro: 7.68
GPQA: 2.35
MUSR: 3.39
BBH: 7.47
IFEval: 20.33 vs 88 (so35)-76.9%
ARC: 55.4 vs 96.7 (so35)-42.7%
HellaSwag: 57.1 vs 95.3 (gpt4)-40.1%
MMLU: 44.3 vs 88.3 (so35)-49.8%
TruthfulQA: 40.89 vs 59 (gpt4)-30.7%
WinoGrande: 72.22 vs 87.5 (gpt4)-17.5%
GSM8K: 32.5 vs 96.4 (so35)-66.3%
OpenCompas: 39.3 vs 73.3 (gpt4)-46.4%
Exam: 40.7 vs 77.2 (gpt4)-47.3%
Language: 29.7 vs 62 (gpt4)-52.1%
Knowledge: 35.4 vs 73.5 (gpt4)-51.8%
Understand: 51.5 vs 70 (gpt4)-26.4%
Reasoning: 38.5 vs 74.4 (gpt4)-48.3%
MATH Lvl 5: 1.81
LLME Score: 0.29241
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 1 5 (microsoft/phi-1_5)
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Phi 1 5 Parameters and Internals

Model Type 
Transformer, text generation, NLP, code
Use Cases 
Areas:
research
Applications:
text generation, code generation
Primary Use Cases:
poem writing, email drafting, story creation, text summarization, Python code writing
Limitations:
Potential to generate harmful content, Generate inaccurate code and facts, Unreliable responses to instruction, Limited scope for code
Considerations:
Users should be cautious and critically evaluate outputs.
Additional Notes 
Phi-1.5-generated text/code should be treated as a starting point. Users should verify API uses manually where uncommon packages are involved.
Supported Languages 
en (standard English)
Training Details 
Data Sources:
same data sources as phi-1, various NLP synthetic texts
Data Volume:
150B tokens
Training Time:
8 days
Hardware Used:
32xA100-40G GPUs
Model Architecture:
Transformer-based with next-word prediction objective
Responsible Ai Considerations 
Transparency:
The model has not undergone instruction fine-tuning.
Mitigation Strategies:
Model is intended for research to help develop methods to reduce toxicity directly after pretraining.
Input Output 
Input Format:
QA format, Chat format, Code format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Users should update to `transformers` version 4.37.0 or higher.
LLM NamePhi 1 5
Repository 🤗https://huggingface.co/microsoft/phi-1_5 
Model Size1.4b
Required VRAM2.8 GB
Updated2025-11-04
Maintainermicrosoft
Model Typephi
Model Files  2.8 GB
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 1 5

Model
Likes
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VRAM
Phi 1 5 Q4130 GB

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Rank the Phi 1 5 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 v20241124
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