Ollama v0.12.7stable Released Oct 29, 2025
Impact Score: 5/10

Ollama v0.12.7 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 v0.12.7. Source highlight: <img width="600" alt="Ollama screenshot 2025-10-29 at 13 56 55@2x" src="https://github.com/user-attachments/assets/4fea0b30-5d31-4da2-b99c-7f38606fc0a2" />

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 (6)

  • Fixed embedding results being incorrect when running `embeddinggemma`
  • Fixed gemma3n on Vulkan backend
  • Fixed truncation error when generating embeddings
  • Fixed request status code when running cloud models
  • Fixed prompt processing reporting in the llama runner
  • Fixed issue where `FROM <model>` would not inherit `RENDERER` or `PARSER` commands
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
<img width="600" alt="Ollama screenshot 2025-10-29 at 13 56 55@2x" src="https://github.com/user-attachments/assets/4fea0b30-5d31-4da2-b99c-7f38606fc0a2" /> ## New models - [Qwen3-VL](https://ollama.com/library/qwen3-vl): Qwen3-VL is now available in all parameter sizes ranging from 2B to 235B - [MiniMax-M2](https://ollama.com/library/minimax-m2): a 230 Billion parameter model built for coding & agentic workflows available on Ollama's cloud ## Add files and adjust thinking levels in Ollama's new app Ollama's new app now includes a way to **add one or many files** when prompting the model: <img width="912" height="712" alt="Screenshot 2025-10-29 at 2 16 55โ€ฏPM" src="https://github.com/user-attachments/assets/60b5fff7-8fab-4433-8183-06696a96042f" /> For better responses, **thinking levels** can now be adjusted for the gpt-oss models: <img width="954" height="712" alt="Screenshot 2025-10-29 at 2 12 33โ€ฏPM" src="https://github.com/user-attachments/assets/7025dcfb-51eb-421c-af2d-fd6f0524955c" /> ## New API documentation New API documentation is available for Ollama's API: [https://docs.ollama.com/api](https://docs.ollama.com/api) <img width="1539" height="814" alt="Screenshot 2025-10-29 at 4 02 53โ€ฏPM" src="https://github.com/user-attachments/assets/ccc33800-baec-4b4b-a288-213a582ac213" /> ## What's Changed * Model load failures now include more information on Windows * Fixed embedding results being incorrect when running `embeddinggemma` * Fixed gemma3n on Vulkan backend * Increased time allocated for ROCm to discover devices * Fixed truncation error when generating embeddings * Fixed request status code when running cloud models * The OpenAI-compatible `/v1/embeddings` endpoint now supports `encoding_format` parameter * Ollama will now parse tool calls that don't conform to `{"name": name, "arguments": args}` (thanks @rick-github!) * Fixed prompt processing reporting in the llama runner * Increase speed when scheduling models * Fixed issue where `FROM <model>` would not inherit `RENDERER` or `PARSER` commands ## New Contributors * @npardal made their first contribution in https://github.com/ollama/ollama/pull/12715 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.12.6...v0.12.7