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深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。 本文将深度拆解DeepSeek-R1的训练过程，从性能评估、训练方法、模型蒸馏到未来展望，全方位解析这一模型是如何炼成的。 DeepSeek-V3和R1分别代表了通用性能与垂直领域推理能力的极致优化。 V3更适合低成本、高泛化性的场景，而 R1则在数学、代码等复杂任务中表现卓越，并通过蒸馏技术赋能小模型。 两者的互补性为开发者提供了灵活选择，同时推动开源社区向更高阶的推理能力迈进。

今天我们将带你一步步了解，如何在本地环境中部署DeepSeek，支持Mac、Windows和 Linux系统。 整个过程简单易懂，特别适合入门者。 DeepSeek R1 是一款开源的AI 模型，它与 OpenAI 的 o1 和 Claude 3.5 Sonnet 等顶级模型竞争，特别是在数学、编程和推理等任务上表现出色。 它是免费的、私密的，并且支持在本地硬件上离线运行。 DeepSeek R1 提供了多个版本，涵盖从轻量级的1.5B参数模型到功能强大的70B参数版本。 从技术角度来看，它基于 Qwen 7B 架构，经过精简和优化，确保在保持强大性能的同时，提升了运行效率。 DeepSeek-R1是深度求索人工智能基础技术研究有限公司（DeepSeek）于2025年1月20日发布的人工智能大模型，其Lite预览版已于2024年11月20日率先推出。 该模型采用基于少量标注数据的大规模强化学习技术，显著提升数学、代码及自然语言推理能力，可与OpenAI o1媲美。 DeepSeek R1 满血版 是 DeepSeek 开发的 R1 模型的最强版本，具备671B参数，媲美「ChatGPT」的卓越 AI 能力，提供流畅、精准的 AI 对话体验。

DeepSeek R1 摇身一变，成了 DeepSeek-R1-0528！ 依然是开源、依然赶在节前，这次的更新不改大版本号，只低调地加上日期，延续了 DeepSeek 一贯的命名套路.

DeepSeek-R1 是一个突破性的人工智能模型，通过强化学习在复杂推理任务中表现出色，在数学、编程和逻辑推理方面提供卓越的性能。

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