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Phi-1.5

Foundation modelPhi-1.5

Phi-1.5

Release date: 2023-09-11Updated: 2023-12-13 13:18:23.160568
Live demoGitHubHugging FaceCompare
Parameters
1.3B
Context length
2K
Chinese support
Not supported
Reasoning ability

Phi-1.5 is an AI model published by Microsoft Azure, released on 2023-09-11, for Foundation model, with 1.3B parameters, and 2K context length, requiring about 2.84GB storage, with a 40.20 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-1.5

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
2023-09-11
Model file size
2.84GB
MoE architecture
No
Total params / Active params
1.3B / N/A
Knowledge cutoff
No data
Phi-1.5

Open source & experience

Code license
Weights license
- Non-commercial only
GitHub repo
GitHub link unavailable
Live demo
No live demo
Phi-1.5

Official resources

Paper
DataLearnerAI blog
No blog post yet
Phi-1.5

API details

API speed
No data
No public API pricing yet.
Phi-1.5

Benchmark Results

Phi-1.5 currently shows benchmark results led by GSM8K (50 / 70, score 40.20), HumanEval (74 / 101, score 34.10), MBPP (58 / 70, score 37.70). 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
37.60
118 / 124

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
GSM8K
Standard Mode
40.20
50 / 70

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
MBPP
Standard Mode
37.70
58 / 70
HumanEval
Standard Mode
34.10
74 / 101

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Phi-1.5

Publisher

Phi-1.5

Model Overview

Phi-1.5 is an AI model published by Microsoft Azure, released on 2023-09-11, for Foundation model, with 1.3B parameters, and 2K context length, requiring about 2.84GB storage, with a 40.20 score on GSM8K.

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