DeepSeek-Coder-V2 is an open-source code language model that rivals the performance of GPT-4, Gemini 1.5 Pro, Claude 3 Opus, Llama 3 70B, or Codestral.
3.2.2 DeepSeek-V2/V3官方部署方案 DeepSeek-V2架构模型(包括DeepSeek-V2/DeepSeek-V2-Coder/DeepSeek-V2.5)的部署方案未公开,而DeepSeek-V3的技术报告中披露了DeepSeek-V3架构模型(DeepSeek-V3/DeepSeek-R1)的系统部署方案。它针对大规模模型推理进行了优化,采用了PD分离的方案,在处理 Prefilling 和Decoding ...
DeepSeek-Coder-V2 Tutorial: Exemplos, instalação, padrões de referência O DeepSeek-Coder-V2 é um modelo de linguagem de código de código aberto que rivaliza com o desempenho do GPT-4, Gemini 1.5 Pro, Claude 3 Opus, Llama 3 70B ou Codestral. Dimitri Didmanidze 8 min Tutorial...
2025年2月10日,KTransformers团队(之前以本地CPU/GPU混合推理开源项目DeepSeek-V2而闻名)发布了一项新的技术成果,宣布支持DeepSeek-R1/V3模型,并展示了其在本地运行时的卓越性能。通过使用仅14GB显存和382GB内存的配置,他们成功运行了DeepSeek-Coder-V3/R1模型的Q4_K_M版本,并实现了高达3~28倍的速度提升。 性...
DeepSeek-Coder-V2 offers anMoE architecturetrained on an additional 6 trillion tokens and has demonstratedperformance matchingto proprietary models like GPT-4 Turbo in code-specific tasks. DeepSeek-R1 is an open-source reasoning model thatmatches the capabilities of OpenAI’s o1. ...
deepseek-coderdeepseeekdeepseek-chatdeepseek-llm UpdatedJan 5, 2024 Python Examples of my tutorial on how to use Neo4j for empowering AI RAG systems javascriptneo4jsimilarity-searchragvector-databaselangchain-jsretrieval-augmented-generationlangchain4jdeepseek-codergemma-7b ...
ktransformers 团队(之前以 DeepSeek-V2 的本地 CPU/GPU 混合推理开源项目而闻名)宣布支持 DeepSeek R1 和 V3 模型。在本地运行 671B DeepSeek-Coder-V3/R1 的 Q4_K_M 版本,仅需 14GB VRAM 和 382GB DRAM。 >> 展示了显著的性能提升,预填充速度和解码速度相比 llama.cpp 有大幅提升 (预填充速度最高...
achieving performance comparable to other state-of-the-art AI models. The platform encompasses specialized models, including DeepSeek-VL for multimodal comprehension, DeepSeek-Coder for software development tasks, DeepSeek-R1 for mathematical reasoning and real-time problem-solving, and DeepSeek-V2, a...
Use model_type deepseek-coder-v2-instruct and deepseek-coder-v2-lite-instruct to begin. 🔥2024.06.16: Supports KTO and CPO training! See document to start training! 2024.06.11: Support for tool-calling agent deployment that conform to the OpenAI interface.You can refer to Agent deployment ...
DeepSeek-Coder-V2的Q4_K_M版本仅需21GBVRAM和136GB DRAM,即可在本地桌面机上运行。在BigCodeBench上的表现优于GPT4-0613。 >>DeepSeek-Coder-V2速度:通过MoE卸载和注入高级内核,实现了2K提示预填充速度为126 tokens/s,生成速度为13.6 tokens/s。