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🚀 Introducing Phi-4-reasoning-plus: Powerful 14B Reasoning Model by Microsoft!
VIDraft/phi-4-reasoning-plus
🌟 Key Highlights
Compact Size (14B parameters): Efficient for use in environments with limited computing resources, yet powerful in performance.
Extended Context (32k tokens): Capable of handling lengthy and complex input sequences.
Enhanced Reasoning: Excels at multi-step reasoning, particularly in mathematics, science, and coding challenges.
Chain-of-Thought Methodology: Provides a detailed reasoning process, followed by concise, accurate summaries.
🏅 Benchmark Achievements
Despite its smaller size, Phi-4-reasoning-plus has delivered impressive results, often surpassing significantly larger models:
Mathematical Reasoning (AIME 2025): Achieved an accuracy of 78%, significantly outperforming larger models like DeepSeek-R1 Distilled (51.5%) and Claude-3.7 Sonnet (58.7%).
Olympiad-level Math (OmniMath): Strong performance with an accuracy of 81.9%, surpassing DeepSeek-R1 Distilled's 63.4%.
Graduate-Level Science Questions (GPQA-Diamond): Delivered competitive performance at 68.9%, close to larger models and demonstrating its capabilities in advanced scientific reasoning.
Coding Challenges (LiveCodeBench): Scored 53.1%, reflecting strong performance among smaller models, though slightly behind specialized coding-focused models.
🛡️ Safety and Robustness
Comprehensive safety evaluation completed through Microsoft's independent AI Red Team assessments.
High standards of alignment and responsible AI compliance validated through extensive adversarial testing.
🎯 Recommended Applications
Phi-4-reasoning-plus is especially suitable for:
Systems with limited computational resources.
Latency-sensitive applications requiring quick yet accurate responses.
📜 License
Freely available under the MIT License for broad accessibility and flexible integration into your projects.
VIDraft/phi-4-reasoning-plus
🌟 Key Highlights
Compact Size (14B parameters): Efficient for use in environments with limited computing resources, yet powerful in performance.
Extended Context (32k tokens): Capable of handling lengthy and complex input sequences.
Enhanced Reasoning: Excels at multi-step reasoning, particularly in mathematics, science, and coding challenges.
Chain-of-Thought Methodology: Provides a detailed reasoning process, followed by concise, accurate summaries.
🏅 Benchmark Achievements
Despite its smaller size, Phi-4-reasoning-plus has delivered impressive results, often surpassing significantly larger models:
Mathematical Reasoning (AIME 2025): Achieved an accuracy of 78%, significantly outperforming larger models like DeepSeek-R1 Distilled (51.5%) and Claude-3.7 Sonnet (58.7%).
Olympiad-level Math (OmniMath): Strong performance with an accuracy of 81.9%, surpassing DeepSeek-R1 Distilled's 63.4%.
Graduate-Level Science Questions (GPQA-Diamond): Delivered competitive performance at 68.9%, close to larger models and demonstrating its capabilities in advanced scientific reasoning.
Coding Challenges (LiveCodeBench): Scored 53.1%, reflecting strong performance among smaller models, though slightly behind specialized coding-focused models.
🛡️ Safety and Robustness
Comprehensive safety evaluation completed through Microsoft's independent AI Red Team assessments.
High standards of alignment and responsible AI compliance validated through extensive adversarial testing.
🎯 Recommended Applications
Phi-4-reasoning-plus is especially suitable for:
Systems with limited computational resources.
Latency-sensitive applications requiring quick yet accurate responses.
📜 License
Freely available under the MIT License for broad accessibility and flexible integration into your projects.
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