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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
🤗Intern-S2 Model Collections • 🤗Intern-S1 Model Collections • ModelScope • 📜Technical Report(S1) • 📜Technical Report(S1-Pro) • 💬Online Chat
MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
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The main features of qwenlm/qwq are: Frontier Reasoning Models.
Projects with overlapping indexed features include: deepseek-ai/deepseek-r1 — DeepSeek-R1 is an open-weights large language model focused on advanced reasoning. It uses chain-of-thought processing… internlm/intern-s1 — 🤗Intern-S2 Model Collections • 🤗Intern-S1 Model Collections • ModelScope • 📜Technical Report(S1) • 📜Technical… minimax-ai/minimax-m1 — MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. moonshotai/kimi-k2 — Kimi-K2 is a conversational AI engine and reasoning framework designed for text generation, advanced problem solving,… nvidia/megatron-lm — Megatron-LM is a distributed transformer training library and large language model training framework designed to… bytedance-seed/seed-oss — 👋 Hi, everyone! We are ByteDance Seed Team.
