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Ollama is the easiest way to automate your work using open models, while keeping your data safe. 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. Search for models on Ollama. kimi-k2.5 Kimi K2.5 is an open-source, native multimodal agentic model that seamlessly integrates vision and language understanding with advanced agentic capabilities,. Ollama is the easiest way to get up and running with large language models such as gpt-oss, Gemma 3, DeepSeek-R1, Qwen3 and more. Navigate with ↑/↓, press enter to launch, → to change model, and esc to quit. The menu provides quick access to: Run a model - Start an interactive chat Launch tools - Claude Code, Codex, OpenClaw,.
Ollama supports importing adapters based on several different model architectures including: Llama (including Llama 2, Llama 3, Llama 3.1, and Llama 3.2); Mistral (including Mistral 1, Mistral 2, and. 5 days ago · 26B (Mixture of Experts model with 4B active parameters) ollama run gemma4:26b 31B (Dense) ollama run gemma4:31b Benchmark Results These models were evaluated against a large. Configure and launch external applications to use Ollama models. This provides an interactive way to set up and start integrations with supported apps. OLLAMA_NUM_PARALLEL - The maximum number of parallel requests each model will process at the same time, default 1. Required RAM will scale by OLLAMA_NUM_PARALLEL *.
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