DeepSeek LLM download for Windows

This is the Windows app named DeepSeek LLM whose latest release can be downloaded as DeepSeek-LLMsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

 
 

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Wine 是一种在 Linux 上运行 Windows 软件的方法,但不需要 Windows。 Wine 是一个开源的 Windows 兼容层,可以直接在任何 Linux 桌面上运行 Windows 程序。 本质上,Wine 试图从头开始重新实现足够多的 Windows,以便它可以运行所有这些 Windows 应用程序,而实际上不需要 Windows。

截图:


DeepSeek 法学硕士


描述:

The DeepSeek-LLM repository hosts the code, model files, evaluations, and documentation for DeepSeek’s LLM series (notably the 67B Chat variant). Its tagline is “Let there be answers.” The repo includes an “evaluation” folder (with results like math benchmark scores) and code artifacts (e.g. pre-commit config) that support model development and deployment. According to the evaluation files, DeepSeek LLM 67B Chat achieves strong performance on math benchmarks under both chain-of-thought (CoT) and tool-assisted reasoning modes. The model is trained from scratch, reportedly on a vast multilingual + code + reasoning dataset, and competes with other open or open-weight models. The architecture mirrors established decoder-only transformer families: pre-norm structure, rotational embeddings (RoPE), grouped query attention (GQA), and mixing in languages and tasks. It supports both “Base” (foundation model) and “Chat” (instruction / conversation tuned) variants.



功能

  • DeepSeek LLM 67B Chat with evaluated benchmark results (math, reasoning, etc)
  • Support both chain-of-thought and tool-integrated reasoning modes
  • Common transformer architecture components: pre-norm, RoPE embeddings, GQA
  • Model variants: Base version and Chat / instruction-tuned version
  • Evaluation metrics, benchmark comparisons (GSM8K, MATH, MGSM-zh, etc) included
  • Configuration, code, and infrastructure files (e.g. .pre-commit-config.yaml) to support development and deployment



分类

大型语言模型(LLM)、人工智能模型

This is an application that can also be fetched from https://sourceforge.net/projects/deepseek-llm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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