ollama v0.40.4

## Decision models in the CLI Decision models can now be used directly from the terminal with — ask yes/no questions, classify text into labels, or score against a rubric: ## What's Changed * Kev decision models are now supported by the MLX runner on Apple silicon * can now be used with usage credits without upgrading to a paid plan * now includes locally installed Ollama models in its model picker. Use 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…