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Phi 1 by microsoft

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

  8125   
  Arxiv:2306.11644   Autotrain compatible   Code   En   Endpoints compatible   Phi   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/microsoft/phi-1 

Phi 1 Benchmarks

MMLU Pro: 1.8
GPQA: 2.01
MUSR: 3.7
BBH: 4.27
IFEval: 20.68 vs 88 (so35)-76.5%
HumanEvalA: 12.15
Python Eva: 51.22 vs 92 (so35)-44.3%
Java Eval: 10.76
Javascript: 19.25
CPP Eval: 14.29
PHP Eval: 12.42
Julia Eval: 0.63
D Eval: 7.05
Lua Eval: 6.21
R Eval: 6.21
Racket Eva: 3.11
Rust Eval: 4.49
Swift Eval: 10.13
MATH Lvl 5: 0.68
LLME Score: 0.21497
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 1 (microsoft/phi-1)

Phi 1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, not suitable for production coding tasks
Applications:
basic Python coding
Primary Use Cases:
code generation, coding assistance
Limitations:
limited to training data packages, may replicate scripts, can generate inaccurate code, unreliable with non-code formats, limited natural language comprehension
Additional Notes 
Security risks include directory traversal, injection attacks, misunderstanding requirements, lack of input validation, insecure defaults, and failure in error handling.
Supported Languages 
en (high)
Training Details 
Data Sources:
The Stack v1.2, StackOverflow, code_contests, synthetic Python textbooks and exercises
Data Volume:
54B tokens (7B unique tokens)
Training Time:
6 days
Hardware Used:
8 A100 GPUs
Model Architecture:
Transformer-based model with next-word prediction objective
Input Output 
Input Format:
Python code format with comments for generation
Accepted Modalities:
code
Output Format:
Python code
Performance Tips:
Users should manually verify all API uses if using packages other than the ones included in training set.
LLM NamePhi 1
Repository 🤗https://huggingface.co/microsoft/phi-1 
Model Size1.4b
Required VRAM2.8 GB
Updated2024-12-22
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 Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/phi-1.

Rank the Phi 1 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 v20241217
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