rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Paper • 2501.04519 • Published about 1 month ago • 254
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22, 2024 • 256 • 42
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22, 2024 • 256 • 42
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27, 2024 • 608 • 142