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https://openrouter.ai/deepseek/deepseek-coder DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model. It is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. The original V1 model was trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. It was pre-trained on project-level code corpus by employing a extra fill-in-the-blank task.

You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide

DeepSeek-V3在推理速度方面实现了比之前模型的重大突破。在开源模型中排名第一，并可与全球最先进的闭源模型相媲美。DeepSeek-V3 采用了多头潜在注意力 （MLA） 和 DeepSeekMoE 架构，这些架构在 DeepSeek-V2 中得到了全面验证。此外，DeepSeek-V3 开创了一种用于负载均衡的辅助无损策略，并设定了多标记预测训练目标以获得更强的性能。

Guide assistant to go over think process first

Anthropic's most intelligent model with toggleable extended thinking

Оформление документации в формате Markdown

Replace incorrect image import with path to img

DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks

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Проверка механики текстовых LLM

阿里云发布的最新大语言模型系列之一，在编码和数学等领域具有显著改进的能力，提供多语言支持，覆盖超过 29 种语言，包括中文、英文等。模型在指令跟随、理解结构化数据以及生成结构化输出（尤其是 JSON）方面都有显著提升。