Ollama v0.40.5 — Release Notes & Engineering Impact

## NVIDIA Nemotron 3.5 Super [NVIDIA Nemotron 3.5 Super](https://ollama.com/library/nemotron-3.5-super) is a vision-language model for coding, reasoning, tool use, and document understanding. It pairs a 120B-parameter hybrid Mamba-2/Transformer mixture-of-experts backbone (12B active per token) with a C-RADIO vision encoder, and supports tool calling, an on/off thinking mode, and context up to 1M tokens. ``` ollama run nemotron-3.5-super ``` A compact sibling, [Nemotron 3.5 Bolt](https://ollama.com/library/nemotron-3.5-bolt), distills Super down to 74B parameters (9B active) tuned to fit a 24 GB NVIDIA GPU for everyday agentic tasks, with speculative decoding via its included drafter. ## What's Changed * Decision models are now available on cloud — use `clef:cloud` and `clef-flash:cloud` to run decision models through ollama.com cloud without pulling them locally * Continuing an OpenAI-compatible Responses conversation that includes custom tool calls no longer fails with an error * Clearer error messages when cloud access fails: sign-in problems, payment issues in the desktop app, and upstream access errors from the ChatGPT gateway now explain what went wrong * Updated llama.cpp (adding Nemotron 3.5 support) and MLX ## New Contributors * @willietran made their first contribution in https://github.com/ollama/ollama/pull/18986 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.40.4...v0.40.5