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reacted to openfree's post with 🧠 4 days ago
🚀 Introducing Phi-4-reasoning-plus: Powerful 14B Reasoning Model by Microsoft! https://huggingface.co/spaces/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.
reacted to openfree's post with ➕ 4 days ago
🚀 Introducing Phi-4-reasoning-plus: Powerful 14B Reasoning Model by Microsoft! https://huggingface.co/spaces/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.
reacted to openfree's post with 😎 4 days ago
🚀 Introducing Phi-4-reasoning-plus: Powerful 14B Reasoning Model by Microsoft! https://huggingface.co/spaces/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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