Ollama v0.3.1stable Released Jul 30, 2024
Impact Score: 5/10

Ollama v0.3.1 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 v0.3.1. Source highlight: Google's Gemma 2 has a new 2B parameter small model!

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.

โœจ New Features & Capabilities (1)

  • Added support for `min_p` sampling option

โšก Performance & Enhancements (1)

  • Performance and reliability improvements when downloading models using `ollama pull`

๐Ÿ”ง Bug Fixes & Patches (1)

  • Fixed issue where `/save` would cause parameters to be saved incorrectly
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
![Gemma 2](https://github.com/user-attachments/assets/1d36f462-b9f4-4e57-9387-4f75af435a99) Google's Gemma 2 has a new 2B parameter small model! ``` ollama run gemma2:2b ``` ## New models - [Gemma 2 2B](https://ollama.com/library/gemma2:2b): A new 2B parameter model by Google DeepMind ## What's Changed * Added support for `min_p` sampling option * `ollama create` will now autodetect required stop parameters when importing certain models * Ollama on Windows will now show better error messages if required files are missing * Fixed issue where `/save` would cause parameters to be saved incorrectly * OpenAI-compatible API will now return a `finish_reason` of `tool_calls` if a tool call occured. * Performance and reliability improvements when downloading models using `ollama pull` * Ollama's Linux install script will now return a better error on unsupported CUDA versions ## New Contributors * @Robitx made their first contribution in https://github.com/ollama/ollama/pull/1825 * @hellerve made their first contribution in https://github.com/ollama/ollama/pull/6041 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.3.0...v0.3.1