Ollama v0.30.4stable Released Jun 03, 2026
Impact Score: 5/10

Ollama v0.30.4 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 v0.30.4. Source highlight: Nemotron-3-Ultra: NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows.

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.

๐Ÿ”ง Bug Fixes & Patches (1)

  • Fixed multimodal models not using GPU on the llama.cpp backend can now use Metal GPU offload on Apple Silicon, improving multimodal performance on supported Macs.
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
# New models - [Nemotron-3-Ultra](https://ollama.com/library/nemotron-3-ultra): NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows. ## What's Changed * Fixed multimodal models not using GPU on the llama.cpp backend can now use Metal GPU offload on Apple Silicon, improving multimodal performance on supported Macs. * `ollama create --experimental` now respects `REQUIRES` in Modelfiles for MLX-based models. * `ollama launch codex` now cleans up old conflicting Codex profile config before launching. * `ollama launch pi` now migrates users from the legacy Pi package to the official package and preserves the correct npm install prefix. * Pi web search setup now updates only when a newer package is available. * Windows cleanup now terminates the llama.cpp backend more reliably. * Updated the llama.cpp backend. ## Known Issues * `gemma4:12b` crashes with floating point exception **Full Changelog**: https://github.com/ollama/ollama/compare/v0.30.3...v0.30.4