Impact Score: 5/10
Ollama v0.11.5 — Release Notes & Engineering Impact
Source available — automated, not human-reviewed
Component: ollama · Channel: stable. Automated analysis, not a compatibility certification. How this works.
Analysis updated: 2026-11-01.
⚡ Executive Summary (TL;DR)
Ollama v0.11.5. Source highlight: Performance improvements for the `gpt-oss` models
Who Does This Impact? (Role-Based Analysis)
💻 Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
📊 Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
⚙️ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
⚡ Performance & Enhancements (3)
- Performance improvements for the `gpt-oss` models
- New memory management: this release of Ollama includes improved memory management for scheduling models on GPUs, leading to better VRAM utilization, model performance and less out of memory errors. These new memory estimations can be enabled with `OLLAMA_NEW_ESTIMATES=1 ollama serve` and will soon be enabled by default.
- Improved multi-GPU scheduling and reduced VRAM allocation when using more than 2 GPUs
🔧 Bug Fixes & Patches (2)
- Fix error when parsing bad harmony tool calls
- Fixed OpenAI-compatible API not supporting `reasoning_effort`
📄 View Raw Release Notes (Original Developer Log)
## What's Changed
* Performance improvements for the `gpt-oss` models
* New memory management: this release of Ollama includes improved memory management for scheduling models on GPUs, leading to better VRAM utilization, model performance and less out of memory errors. These new memory estimations can be enabled with `OLLAMA_NEW_ESTIMATES=1 ollama serve` and will soon be enabled by default.
* Improved multi-GPU scheduling and reduced VRAM allocation when using more than 2 GPUs
* Ollama's new app will now remember default selections for default model, Turbo and Web Search between restarts
* Fix error when parsing bad harmony tool calls
* `OLLAMA_FLASH_ATTENTION=1` will also enable flash attention for pure-CPU models
* Fixed OpenAI-compatible API not supporting `reasoning_effort`
* Reduced size of installation on Windows and Linux
## New Contributors
* @vorburger made their first contribution in https://github.com/ollama/ollama/pull/11755
* @dan-and made their first contribution in https://github.com/ollama/ollama/pull/10678
* @youzichuan made their first contribution in https://github.com/ollama/ollama/pull/11880
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.11.4...v0.11.5