# Ollama v0.40.4 adds CLI decision model support and MLX improvements

> **Key takeaway:** Ollama now supports decision models directly via the CLI for tasks like classification and scoring.

**Published:** 2026-10-14T02:23:26+00:00 
**Source:** Ollama Local AI Runtimes 
**Category:** ai-local-edge 
**Canonical URL:** https://fosswire.org/news/ollama-v0404-adds-cli-decision-model-support-and-mlx-improve.html 

## Summary
Ollama version 0.40.4 introduces the ability to run decision models through the terminal for yes/no questions, text classification, and rubric scoring. The update also brings significant performance and reliability improvements to the MLX runner on Apple silicon and enhances Gemma 4 prefill performance on NVIDIA GPUs.

## Technical updates in Ollama v0.40.4
- **Decision models** can be invoked via `ollama run --ask` for classification and scoring.
- **MLX runner** updates include support for decision models on Apple silicon and improved speculative decoding reliability.
- **llama.cpp** has been updated with native decision model support.
- **Multimodal embeddings** support added via llama-server.
- **Performance gains** for Gemma 4 prefill on NVIDIA GPUs and improved inference through manifest and model reuse.

## Why it matters
The integration of decision models into the CLI lowers the barrier for automating text classification and structured data extraction using local LLMs.