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Ollamas new engine for multimodal models · Ollama Blog As more multimodal models are released by major research labs, the task of supporting these models the way Ollama intends became more and more challenging We set out to support a new engine that makes multimodal models first-class citizens, and getting Ollama’s partners to contribute more directly to the community via the GGML tensor library
Ollama is now available as an official Docker image We are excited to share that Ollama is now available as an official Docker sponsored open-source image, making it simpler to get up and running with large language models using Docker containers With Ollama, all your interactions with large language models happen locally without sending private data to third-party services
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qwen3 - ollama. com Download Ollama Qwen 3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models The flagship model, Qwen3-235B-A22B , achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc , when compared to other top-tier models such
Ollama Get up and running with large language models Run Llama 3, Phi 3, Mistral, Gemma 2, and other models Customize and create your own
Blog · Ollama Ollama is now available on Windows in preview, making it possible to pull, run and create large language models in a new native Windows experience Ollama on Windows includes built-in GPU acceleration, access to the full model library, and serves the Ollama API including OpenAI compatibility
Structured outputs · Ollama Blog Ollama now supports structured outputs making it possible to constrain a model's output to a specific format defined by a JSON schema The Ollama Python and JavaScript libraries have been updated to support structured outputs
Download Ollama on Linux curl -fsSL https: ollama com install sh | sh View script source • Manual install instructions While Ollama downloads, sign up to get notified of new updates
deepseek-r1 - ollama. com Note: to update the model from an older version, run ollama pull deepseek-r1 Distilled models DeepSeek team has demonstrated that the reasoning patterns of larger models can be distilled into smaller models, resulting in better performance compared to the reasoning patterns discovered through RL on small models