Impact Score: 5/10
Ollama v0.6.6 — 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 v0.6.6. Source highlight: IBM Granite 3.3: 2B and 8B models with 128K context length that have been fine-tuned for improved reasoning and instruction-following capabilities.
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)
- IBM Granite 3.3: 2B and 8B models with 128K context length that have been fine-tuned for improved reasoning and instruction-following capabilities.
- **New, faster model downloading**: `OLLAMA_EXPERIMENT=client2 ollama serve` will run Ollama using a new downloader with improved performance and reliability when running `ollama pull`. Please share feedback here!
- Improved performance of `ollama create` when importing models from Safetensors
🔧 Bug Fixes & Patches (4)
- Fixed memory leak issues when running Gemma 3, Mistral Small 3.1 and other models on Ollama
- Fixed certain out of memory issues from not reserving enough memory at startup
- Fix nondeterministic model unload order
- Fixed issue where model tensor data would be corrupted when importing models from Safetensors
📄 View Raw Release Notes (Original Developer Log)
## New models
- [IBM Granite 3.3](https://ollama.com/library/granite3.3): 2B and 8B models with 128K context length that have been fine-tuned for improved reasoning and instruction-following capabilities.
- [DeepCoder](https://ollama.com/library/deepcoder): a fully open-Source 14B coder model at O3-mini level, with a 1.5B version also available.
## What's Changed
* **New, faster model downloading**: `OLLAMA_EXPERIMENT=client2 ollama serve` will run Ollama using a new downloader with improved performance and reliability when running `ollama pull`. Please share feedback [here](https://github.com/ollama/ollama/issues/10331)!
* Fixed memory leak issues when running Gemma 3, Mistral Small 3.1 and other models on Ollama
* Improved performance of `ollama create` when importing models from Safetensors
* Ollama will now allow tool function parameters with either a single type or an array of types by @rozgo
* Fixed certain out of memory issues from not reserving enough memory at startup
* Fix nondeterministic model unload order by @IreGaddr
* Include the `items` and `$defs` fields to properly handle `array` types in the API by @sheffler
* `OpenAI-Beta` headers are now included in the CORS safelist by @drifkin
* Fixed issue where model tensor data would be corrupted when importing models from Safetensors
## New Contributors
* @drifkin made their first contribution in https://github.com/ollama/ollama/pull/10169
* @rozgo made their first contribution in https://github.com/ollama/ollama/pull/9434
* @qwerty108109 made their first contribution in https://github.com/ollama/ollama/pull/10168
* @IreGaddr made their first contribution in https://github.com/ollama/ollama/pull/10185
* @sheffler made their first contribution in https://github.com/ollama/ollama/pull/10091
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.6.5...v0.6.6