Ollama v0.13.0stable Released Nov 19, 2025
Impact Score: 5/10

Ollama v0.13.0 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 v0.13.0. Source highlight: DeepSeek-OCR: DeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing.

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 (3)

  • Improved CPU and memory detection while in containers/cgroups
  • Improved VRAM information detection for AMD GPUs
  • Improved KV cache performance to no longer require defragmentation

๐Ÿ”ง Bug Fixes & Patches (2)

  • Fixed performance issues that arose in Ollama 0.12.11 on CUDA
  • Fixed issue where Linux install packages were missing required Vulkan libraries
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## New models * [DeepSeek-OCR](https://ollama.com/library/deepseek-ocr): DeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing. * [Cogito-V2.1](https://ollama.com/library/cogito-2.1): instruction tuned generative models, currently the best open-weight LLM by a US company ## DeepSeek-OCR DeepSeek-OCR is now available on Ollama. Example inputs: ``` ollama run deepseek-ocr "/path/to/image\n<|grounding|>Given the layout of the image." ``` ``` ollama run deepseek-ocr "/path/to/image\nFree OCR." ``` ``` ollama run deepseek-ocr "/path/to/image\nParse the figure." ``` ``` ollama run deepseek-ocr "/path/to/image\nExtract the text in the image." ``` ``` ollama run deepseek-ocr "/path/to/image\n<|grounding|>Convert the document to markdown." ``` ## New `bench` tool Ollama's GitHub repo now includes a `bench` tool that can be used to test model performance. For the time being this is a separate tool that can be built in the Ollama GitHub repository: First, install [Go](https://go.dev/doc/install). Then from the root of the Ollama repository run: ``` go run ./cmd/bench -model gpt-oss:20b ``` For more information see the tool's [documentation](https://github.com/ollama/ollama/tree/main/cmd/bench) ## What's Changed * DeepSeek-OCR is now supported * DeepSeek-V3.1 architecture is now supported in Ollama's engine * Fixed performance issues that arose in Ollama 0.12.11 on CUDA * Fixed issue where Linux install packages were missing required Vulkan libraries * Improved CPU and memory detection while in containers/cgroups * Improved VRAM information detection for AMD GPUs * Improved KV cache performance to no longer require defragmentation ## New Contributors * @lnicola made their first contribution in https://github.com/ollama/ollama/pull/13096 * @vignesh1507 made their first contribution in https://github.com/ollama/ollama/pull/13078 * @pierwill made their first contribution in https://github.com/ollama/ollama/pull/12995 * @jjuliano made their first contribution in https://github.com/ollama/ollama/pull/11877 * @omahs made their first contribution in https://github.com/ollama/ollama/pull/10683 * @SiLeader made their first contribution in https://github.com/ollama/ollama/pull/10292 * @ssam18 made their first contribution in https://github.com/ollama/ollama/pull/13124 * @seolyam made their first contribution in https://github.com/ollama/ollama/pull/13116 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.12.11...v0.13.0