Ollama v0.1.28stable Released Mar 01, 2024
Impact Score: 5/10

Ollama v0.1.28 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 v0.1.28. Source highlight: StarCoder2: the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.

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 support for `llava` 1.6 models

๐Ÿ”ง Bug Fixes & Patches (2)

  • Fixed issue where switching between models repeatedly would cause Ollama to hang
  • Fixed issue where running Ollama in `podman` would not detect Nvidia GPUs
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## New models * [StarCoder2](https://ollama.com/library/starcoder2): the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters. * [DolphinCoder](https://ollama.com/library/dolphincoder): a chat model based on StarCoder2 15B that excels at writing code. ## What's Changed * Vision models such as `llava` should now respond better to text prompts * Improved support for `llava` 1.6 models * Fixed issue where switching between models repeatedly would cause Ollama to hang * Installing Ollama on Windows no longer requires a minimum of 4GB disk space * Ollama on macOS will now more reliably determine available VRAM * Fixed issue where running Ollama in `podman` would not detect Nvidia GPUs * Ollama will correctly return an empty embedding when calling `/api/embeddings` with an empty `prompt` instead of hanging ## New Contributors * @Bin-Huang made their first contribution in https://github.com/ollama/ollama/pull/1706 * @elthommy made their first contribution in https://github.com/ollama/ollama/pull/2737 * @peanut256 made their first contribution in https://github.com/ollama/ollama/pull/2354 * @tylinux made their first contribution in https://github.com/ollama/ollama/pull/2827 * @fred-bf made their first contribution in https://github.com/ollama/ollama/pull/2780 * @bmwiedemann made their first contribution in https://github.com/ollama/ollama/pull/2836 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.1.27...v0.1.28