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Phi-2

Foundation model

Phi-2

Release date: 2023-12-12Updated: 2024-01-06 19:45:14.535822
Live demoGitHubHugging FaceCompare
Parameters
2.7B
Context length
2K
Chinese support
Not supported
Reasoning ability

Phi-2 is an AI model published by Microsoft Azure, released on 2023-12-12, for Foundation model, with 2.7B parameters, and 2K context length, requiring about 5.4GB storage, with a 61.10 score on GSM8K.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Phi-2

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-12-12
Model file size
5.4GB
MoE architecture
No
Total params / Active params
2.7B / N/A
Knowledge cutoff
No data
Phi-2

Open source & experience

Code license
Weights license
MIT License- Commercial use permitted
GitHub repo
GitHub link unavailable
Live demo
No live demo
Phi-2

Official resources

Paper
DataLearnerAI blog
No blog post yet
Phi-2

API details

API speed
No data
No public API pricing yet.
Phi-2

Benchmark Results

Phi-2 currently shows benchmark results led by MBPP (29 / 70, score 59.10), GSM8K (34 / 70, score 61.10), HumanEval (53 / 101, score 48.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
MMLU
Standard Mode
56.70
96 / 124

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
GSM8K
Standard Mode
61.10
34 / 70

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
MBPP
Standard Mode
59.10
29 / 70
HumanEval
Standard Mode
48.30
53 / 101

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Phi-2

Publisher

Phi-2

Model Overview

Phi-2 is an AI model published by Microsoft Azure, released on 2023-12-12, for Foundation model, with 2.7B parameters, and 2K context length, requiring about 5.4GB storage, with a 61.10 score on GSM8K.

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