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.txt`

 ## What'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
  * `ollama launch codex` now includes locally installed Ollama models in its model picker. Use `/model` within the Codex CLI to swap models.
  * Improved inference performance by reusing verified manifests and already loaded models
  * Added support for multimodal embeddings through llama-server
  * Fixed loading multimodal embedding models with small context windows
  * Improved Gemma 4 prefill performance on NVIDIA GPUs with the MLX runner
  * MLX runner now clips long Laya states instead of rejecting them
  * Improved speculative decoding reliability in the MLX runner, including recurrent state handling after rollback
   * Updated llama.cpp with native decision model support
  * Updated README and documentation with clearer privacy and cloud-services wording

  
  Full Changelog: https://github.com/ollama/ollama/compare/v0.40.3...v0.40.4

Full release notes on GitHub →