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DeepSeek-R1 is an open-weights large language model focused on advanced reasoning. It uses chain-of-thought processing and internal monologues to solve complex mathematical and logical problems by breaking tasks into sequential, verifiable thought processes. The model is developed using reinforcement learning to optimize reasoning patterns and verify logical steps. It employs a distillation process to transfer these high-performance logic capabilities from a large teacher model into smaller, computationally efficient versions. The training framework incorporates group relative policy optimiz
Qwen2.5 is a suite of large language model foundation models designed for natural language generation, code production, and complex mathematical reasoning. The project encompasses a multilingual language model capable of processing dozens of languages and a specialized code generation model for technical problem solving and debugging. The framework is distinguished by its long context capabilities, enabling the analysis of massive inputs ranging from 256K up to 1 million tokens. It further functions as an agentic framework, utilizing standardized templates and parsers to execute autonomous wo
Kimi-VL: Mixture-of-Experts Vision-Language Model for Multimodal Reasoning, Long-Context Understanding, and Strong Agent Capabilities
The main features of moonshotai/kimi-vl are: Reasoning Models, Technical Research Repositories.
Projects with overlapping indexed features include: bytedance-seed/seed-thinking-v1.5. deepseek-ai/deepseek-r1 — DeepSeek-R1 is an open-weights large language model focused on advanced reasoning. It uses chain-of-thought processing… qwenlm/qwen2.5 — Qwen2.5 is a suite of large language model foundation models designed for natural language generation, code… aegis1863/llms-distillation-quantification. aidc-ai/marco-o1 — An Open Large Reasoning Model for Real-World Solutions. agentica-project/rllm — 🚀 Reinforcement Learning for Language Agents🌟.