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/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