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.
โก 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)
๐ป Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
๐ Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
โ๏ธ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
โก 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
๐ง 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
๐ 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