Ollama
Notes
Release notes
v0.13.3
· 6m+
New models
- Devstral-Small-2: 24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.
- 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: 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/embedand/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