Ollama v0.31.1stable Released Jun 30, 2026
Impact Score: 5/10

Ollama v0.31.1 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: ollama ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Ollama v0.31.1. Source highlight: Faster Gemma 4 on Apple Silicon

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

โšก Performance & Enhancements (1)

  • Improved Gemma 4 multi-token prediction (MTP) performance
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## Faster Gemma 4 on Apple Silicon <img width="1037" height="485" alt="Screenshot 2026-06-30 at 5 25 29โ€ฏPM" src="https://github.com/user-attachments/assets/547d5076-090f-43c4-a661-938e11abc955" /> Gemma 4 is now significantly faster in Ollama on Apple Silicon, generating tokens nearly 90% faster on average across a coding-agent benchmark by leveraging multi-token prediction (MTP). Ollama auto-tunes how many tokens to draft as it runs, so the speedup is on by default, requires no configuration, and does not change the model's output. ## What's Changed - Tightened Gemma 4 MoE model loading in the MLX engine - Updated the MLX engine to the latest version, including a new small-batch matmul kernel - Updated the underlying llama.cpp engine to build 9840 - Improved Gemma 4 multi-token prediction (MTP) performance **Full Changelog**: https://github.com/ollama/ollama/compare/v0.30.12...v0.31.1