Ollama v0.40.7stable Released Oct 18, 2026
Impact Score: 5/10

Ollama v0.40.7 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: ollama ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Ollama v0.40.7. Source highlight: pplx-decider is a 27B decision model from Perplexity, fine-tuned from

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

๐Ÿ”ง Bug Fixes & Patches (1)

  • Fixed streaming Responses requests where client tool calls (e.g. Codex with web search) could emit before open
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## What's Changed * [pplx-decider](https://ollama.com/library/pplx-decider) is a 27B decision model from Perplexity, fine-tuned from Qwen3.8-27B * Continuing an OpenAI-compatible Responses conversation no longer fails when switching between models with and without thinking, or when the history contains another provider's compaction items * Fixed streaming Responses requests where client tool calls (e.g. Codex with web search) could emit before open reasoning items, producing misordered/duplicate tool call events * Requests routed to remote models are now cancelled on ollama.com when the client disconnects, instead of continuing to run * `ollama show` now reports which renderer and parser a model uses and where its chat template comes from; the API exposes the same values in new `renderer`, `parser`, and `template_source` fields * More draft models now work with speculative decoding: llama-server infers the draft type automatically instead of requiring Ollama to identify it * `ollama launch claude` now clamps `CLAUDE_CODE_AUTO_COMPACT_WINDOW` to Claude Code's supported range, avoiding a "window too large" warning * Updated llama.cpp and MLX **Full Changelog**: https://github.com/ollama/ollama/compare/v0.40.6...v0.40.7