DataLearner logo
PH

Phi-3-small 7B

Foundation modelPhi-3

Phi-3-small 7B

Release date: 2024-04-23Updated: 2024-04-23Views: 729
Live demoGitHubHugging FaceCompare
Parameters
7B
Context length
8K
Multilingual
No data
Reasoning ability
No data

Phi-3-small 7B is an AI model published by Microsoft Azure, released on 2024-04-23, for Foundation model, with 7B parameters, and 8K context length, requiring about 14GB storage.

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

Phi-3-small 7B

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-04-23
Model file size
14GB
MoE architecture
No
Total params / Active params
7B / Not applicable
Knowledge cutoff
No data
Phi-3-small 7B

Open source & experience

Code license
Weights license
MIT License- Commercial use permitted
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
Phi-3-small 7B

Official resources

Paper
DataLearnerAI blog
N/A
Phi-3-small 7B

API details

API speed
No data
No public API pricing yet.
Phi-3-small 7B

Publisher

Phi-3-small 7B

Model Overview

Phi-3-small 7B is an AI model published by Microsoft Azure, released on 2024-04-23, for Foundation model, with 7B parameters, and 8K context length, requiring about 14GB storage.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code