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英文字典中文字典相关资料:


  • Ollama
    Ollama is the easiest way to automate your work using open models, while keeping your data safe
  • Ollama
    Search for models on Ollama glm-5 1 GLM-5 1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin
  • Download Ollama on macOS
    Download Ollama macOS Linux Windows paste this in terminal or Download for macOS Requires macOS 14 Sonoma or later
  • llama3. 1
    Meta Llama 3 1 Llama 3 1 family of models available: 8B 70B 405B Llama 3 1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation The upgraded versions of the 8B and 70B models are multilingual and have a significantly longer context length of 128K
  • library - Ollama
    Browse Ollama's library of models OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3 1 on English academic benchmarks
  • deepseek-r1 - ollama. com
    DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2 5 Pro
  • gemma3 - ollama. com
    The current, most capable model that runs on a single GPU
  • qwen3 - ollama. com
    Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models
  • deepseek · Ollama
    Search for models on Ollama deepseek-v4-pro DeepSeek-V4-Pro is a frontier Mixture-of-Experts model with a 1M-token context window and three reasoning modes
  • qwen2. 5-coder - ollama. com
    The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing





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