DeepSeek 官方推出的免费 AI 助手 搜索写作阅读解题翻译工具 API 开放平台 ↗ English © 2025 杭州深度求索人工智能基础技术研究有限公司 版权所有 浙ICP备2023025841号浙B2-20250178浙公网安备33010502011812号 研究 DeepSeek R1DeepSeek V3DeepSeek Coder V2DeepSeek VLDeepSeek V2DeepSeek CoderDeepSeek MathDeepSeek...
DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-Coder-V2-Base, while maintaining comparable performance in general language tasks. Compared to DeepSeek-Coder, DeepSeek-Coder-V2 demonstrates significant advancements in various aspects of code-related ta...
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence 1. Introduction We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-...
DeepSeek-Prover-V2Public FlashMLAPublic FlashMLA: Efficient MLA decoding kernels DreamCraft3DPublic [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior DeepSeek-R1Public People Top languages ...
DeepSeek Coder V2 deepseek-ai/deepseek-coder-v2 DeepSeek-Coder-V2 is an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.Model CardCode (1)Discussion (0)CompetitionsModel...
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence - deepseek-ai/DeepSeek-Coder-V2
DeepSeek-Coder-V2,这是一种开源专家混合 (MoE) 代码语言模型,它在特定于代码的任务中实现了与 GPT4-Turbo 相当的性能。具体来说,DeepSeek-Coder-V2 是通过 DeepSeek-Coder-V2-Base 使用来自高质量、多源语料库的 6 万亿个代币进行进一步预训练的。
DeepSeek-V2、DeepSeek-Coder-V2 基于 2 千亿 MoE 模型底座,领先性能,超低价格,越级场景体验。 DeepSeek-Coder-V2 全球顶尖的代码、数学能力DeepSeek-Coder-V2 沿用 DeepSeek-V2 的模型结构,总参数 236B,激活…
DeepSeek 的性价比优势也非常明显。例如,DeepSeek-V2 的 API 定价为每百万 tokens 输入1元、输出2元,远低于市场上其他同类产品的价格。这种低成本策略不仅降低了用户的使用门槛,还推动了大模型技术的普及和应用推广。 DeepSeek 还推出了多个专用版本,如 DeepSeek-Coder 和 DeepSeek-R1-Lite,分别针对代码生成和逻辑...
DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338, while extending the context length from 16K to 128K. In standard benchmark evaluations, DeepSeek-Coder-V2 achieves superior performance compared to closed-source models such as GPT4-Turbo, Claude 3 Opus, and Gemini...