Updatify / Ollama | Release notes

New models

• Qwen3-VL: Qwen3-VL is now available in all parameter sizes ranging from 2B to 235B
• MiniMax-M2: a 230 Billion parameter model built for coding & agentic workflows available on Ollama’s cloud

Add files and adjust thinking levels in Ollama’s new app

Ollama’s new app now includes a way to add one or many files when prompting the model:

For better responses, thinking levels can now be adjusted for the gpt-oss models:

New API documentation

New API documentation is available for Ollama’s API: https://docs.ollama.com/api

What’s Changed

• Model load failures now include more information on Windows
• Fixed embedding results being incorrect when running embeddinggemma
• Fixed gemma3n on Vulkan backend
• Increased time allocated for ROCm to discover devices
• Fixed truncation error when generating embeddings
• Fixed request status code when running cloud models
• The OpenAI-compatible /v1/embeddings endpoint now supports encoding_format parameter
• Ollama will now parse tool calls that don’t conform to {"name": name, "arguments": args} (thanks @rick-github!)
• Fixed prompt processing reporting in the llama runner
• Increase speed when scheduling models
• Fixed issue where FROM <model> would not inherit RENDERER or PARSER commands

New Contributors

• @npardal made their first contribution in https://github.com/ollama/ollama/pull/12715

Full Changelog: https://github.com/ollama/ollama/compare/v0.12.6…v0.12.7