GPAI Ledger › Phi-4 (Microsoft) › Capture 11 Aug 2026

Phi-4 — capture 20260811T105558Z

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Extracted text

Machine-extracted text (layout may be lost; the authoritative content is the stored file above).

# Data Summary for microsoft_phi-4

## 1. General information

**1.0.1 Version of the Summary:** 1.0

**1.0.2 Last update:** 24-Nov-2025

## 1.1 Model Developer Identification

**1.1.1 Model Developer name and contact details:** Microsoft Corporation at One Microsoft Way, Redmond, WA 98052. Tel: 425-882-8080

## 1.2 Model Identification

**1.2.1 Versioned model name(s):** phi-4

**1.2.2 Model release date:** 12-Dec-2024

## 1.3 Overall training data size and characteristics

### 1.3.1 Size of dataset and characteristics

**1.3.1.A Text training data size:** 1 billion to 10 trillion tokens

**1.3.1.B Text training data content:** Training data is an extension of the data used for Phi-3 and includes a wide variety of sources from:

1. Publicly available documents filtered rigorously for quality, selected high-quality educational data, and code.

2. Newly created synthetic, “textbook-like” data for the purpose of teaching math, coding, common sense reasoning, general knowledge of the world (science, daily activities, theory of mind, etc.).

3. Acquired academic books and Q&A datasets.

4. High quality chat format supervised data covering various topics to reflect human preferences on different aspects such as instruct-following, truthfulness, honesty and helpfulness.

5. Multilingual data constitutes about 8% of our overall data.

**1.3.1.C Image training data size:** Not applicable. Images are not part of the training

**1.3.1.D Image training data content:** Not applicable

**1.3.1.E Audio training data size:** Not applicable. Audio data is not part of the training data

**1.3.1.F Audio training data content:** Not applicable

**1.3.1.G Video training data size:** Not applicable. Video data is not part of the training data

**1.3.1.H Video training data content:** Not applicable

**1.3.1.I Other training data size:** Not applicable

**1.3.1.J Other training data content:** Not applicable

**1.3.2 Latest date of data acquisition/collection for model training:** 30-Jun-2024

**1.3.3 Is data collection ongoing to update the model with new data collection after deployment?** No

**1.3.4 Date the training dataset was first used to train the model:** 10/01/2024

**1.3.5 Rationale or purpose of data selection:** Datasets were selected to maximize high-quality reasoning and problem-solving capabilities. The mixture emphasizes synthetic, curriculum-structured data and rigorously filtered organic sources such as academic papers, licensed books, code, and Q&A to improve STEM reasoning, coding, and general knowledge while reducing noise and contamination. Targeted acquisitions and multilingual content complement synthetic data to balance reasoning strength with factual coverage

## 2. List of data sources

### 2.1 Publicly available datasets

**2.1.1 Have you used publicly available datasets to train the model?** Yes

## 2.2 Private non-publicly available datasets obtained from third parties

### 2.2.1 Datasets commercially licensed by rights holders or their representatives

**2.2.1.A Have you concluded transactional commercial licensing agreement(s) with rights holder(s) or with their representatives?** Yes

### 2.2.2 Private datasets obtained from other third-parties

**2.2.2.A Have you obtained private datasets from third parties that are not licensed as described in Section 2.2.1, such as data obtained from providers of private databases, or data intermediaries?** This information cannot be provided due to unavailability of the underlying data (e.g., loss, corruption, or other access limitations)

## 2.3 Personal Information

**2.3.1 Was personal data used to train the model?** Microsoft follows all relevant laws and regulations pertaining to personal information

## 2.4 Synthetic data

**2.4.1 Was any synthetic AI-generated data used to train the model?** Yes

## 3. Data processing aspects

### 3.1 Respect of reservation of rights from text and data mining exception or limitation

**3.1.1 Does this dataset include any data protected by copyright, trademark, or patent?** Microsoft follows all required regulations and laws for processing data protected by copyright, trademark, or patent

## 3.2 Other information

**3.2.1 Does the dataset include information about consumer groups without revealing individual consumer identities?** Microsoft follows all required regulations and laws for protecting consumer identities

**3.2.2 Was the dataset cleaned or modified before model training?** Yes