Ollama v0.18.0 — Release Notes & Engineering Impact

Ollama 0.18 includes improved performance for OpenClaw and Ollama’s [cloud models](https://ollama.com/search?c=cloud), including the new Nemotron-3-Super model by NVIDIA designed for high-performance agentic reasoning tasks. ### Improved OpenClaw performance with Kimi-K2.5 This release of Ollama improves performance of cloud models and their reliability. - Up to 2x faster speeds with Kimi-K2.5 - Tool calling accuracy has been improved ``` ollama launch openclaw --model kimi-k2.5 ``` ### Ollama is now a provider in OpenClaw Ollama can now be selected as an authentication and model provider during OpenClaw onboarding (thanks @BruceMacD for contributing and @steipete for reviewing!) ``` openclaw onboard --auth-choice ollama ``` More information: [https://docs.openclaw.ai/providers/ollama](https://docs.openclaw.ai/providers/ollama) ### Nemotron-3-Super [Nemotron-3-Super](https://ollama.com/library/nemotron-3-super): is a new 122B parameter model with strong reasoning and tool calling capability, while having top performance when run on modern hardware: - `ollama run nemotron-3-super:cloud` - `ollama run nemotron-3-super` to run locally (requires 96GB+ of VRAM) Nemotron-3-Super scores highest of any open model on PinchBench, a benchmark suite that measures how successful models are at completing tasks when used with OpenClaw. ``` ollama launch openclaw --model nemotron-3-super:cloud ``` Or using OpenClaw’s onboarding: ``` openclaw onboard \ --auth-choice ollama \ --custom-model-id nemotron-3-super:cloud ``` ### Non-interactive task support `ollama launch` now supports non-interactive tasks by passing in `--yes`. This enables using Claude, Codex, Pi and more in scripts, GitHub Actions, and other non-interactive environments. ``` ollama launch claude \ --model glm-5:cloud \ --yes \ -- "Do a quick code review of this pull request and respond on GitHub with a comment summarizing your feedback." ``` ### Lower latency on MiniMax-M2.5 and Qwen3.5 on Ollama’s cloud For customers in North America, MiniMax-M2.5 and Qwen3.5 on Ollama’s cloud now respond much faster, up to 10x and up to 2x faster respectively, and often in less than a second. This is ideal for tasks that require a fast Time To First Token (TTFT) when needing quick answers from OpenClaw or quick back-to-back coding tasks. ``` ollama launch claude --model minimax-m2.5 ``` ### Driver updates required for ROCm 7 This version of Ollama ships with [ROCm 7](https://www.amd.com/en/products/software/rocm/whats-new.html), and requires updating drivers to the latest version for continued support. ## What's Changed * Ollama's cloud models no longer require downloading via `ollama pull`. Setting `:cloud` as a tag will now automatically connect to cloud models. * New `--yes` flag for `ollama launch` that skips all prompts, making it possible to run AI assistants and other tools in non-interactive environments * Fixed issue where "Reset to Defaults" in Ollama's app would disable downloading automatic updates. * Ollama will now ensure context compaction occurs at the correct context length for each model when using `ollama launch claude` ## New Contributors * @flipbit03 made their first contribution in https://github.com/ollama/ollama/pull/14821 * @shivamtiwari3 made their first contribution in https://github.com/ollama/ollama/pull/14825 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.17.7...v0.18.0