DescriptionThis AI tool simplifies the process of running machine learning models locally, enabling developers to easily deploy and interact with various models without extensive setup. Its user-friendly interface streamlines the integration of AI into applications.
NVIDIA Nemotron 3.5 SuperNVIDIA Nemotron 3.5 Super is a vision-language model for coding, reasoning, tool use, and document understanding. It pairs a 120B-parameter hybrid Mamba-2/Transformer mixture-of-experts backbone (12B active per token) with a C-RADIO vision encoder, and supports tool calling, an on/off thinking mode, and context up to 1M tokens.
Decision models in the CLI
Decision models can now be used directly from the terminal with ollama run — ask yes/no questions, classify text into labels, or score against a rubric:
ollama run nimble --ask "Is a refund being requested?" < ticket.txtWhat's Changed
Kev decision models are now supported by the MLX runner on Apple silicon
ollama launch can now be used with usage credits without upgrading to a paid plan
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Models downloaded with earlier versions of Ollama are upgraded in the background the first time you run them, for better performance and compatibility when running on llama.cpp.
To make downgrading safe, Ollama keeps the original copy as a backup, so upgraded models are temporarily kept on disk. A future release will remove these backups automatically.
NVIDIA Nemotron 3.5 Super is a vision-language model for coding, reasoning, tool use, and document understanding. It pairs a 120B-parameter hybrid Mamba-2/Transformer mixture-of-experts backbone (12B active per token) with a C-RADIO vision encoder, and supports tool calling, an on/off thinking mode, and context up to 1M tokens.