Impact Score: 5/10
Ollama v0.13.3 — 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 v0.13.3. Source highlight: Devstral-Small-2: 24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.
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 (1)
- Improved truncation logic when using `/api/embed` and `/v1/embeddings`
🔧 Bug Fixes & Patches (1)
- Fix error that would occur when running qwen2.5vl with image input
📄 View Raw Release Notes (Original Developer Log)
## New models
* [Devstral-Small-2](https://ollama.com/library/devstral-small-2): 24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.
* [rnj-1](https://ollama.com/library/rnj-1): Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.
* [nomic-embed-text-v2](https://ollama.com/library/nomic-embed-text-v2-moe): nomic-embed-text-v2-moe is a multilingual MoE text embedding model that excels at multilingual retrieval.
## What's Changed
* Improved truncation logic when using `/api/embed` and `/v1/embeddings`
* Extend Gemma 3 architecture to support rnj-1 model
* Fix error that would occur when running qwen2.5vl with image input
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.13.2...v0.13.3