We have hosted the application deepseek llm in order to run this application in our online workstations with Wine or directly.


Quick description about deepseek llm:

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.

Features:
  • 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



Categories:
Large Language Models (LLM), AI Models

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