Releasesby GlyphOllama 0.40.11
Ollama now supports speech generation on macOS and introduces d3 decision models for classification and scoring tasks. The d3 family includes models ranging from 2B to 27B parameters.
Also shipped Oct 24, 2026Ollama in October 2026 →
astronomer 2.1.2
Astronomer 2.1.2 includes image updates, remediation for security issues, and support for Kubernetes 1.36 and 1.37.
Claude Agent SDK 0.2.174
Claude Agent SDK 0.2.174 includes an update to the bundled Claude CLI version 2.1.310.
CrewAI 1.15.30
CrewAI 1.15.30 includes a bug fix for the agent login process during evaluation.
More from OllamaEvery Ollama release →
Ollama 0.40.10
Ollama now supports the NVIDIA Nemotron 3.5 Bolt E4B vision-language model, which features a 128K-token context window.
Ollama 0.40.9
Ollama 0.40.9 adds speech generation on Apple Silicon, introduces the d3 decision model family, and expands Flint support to Linux and Windows. It also includes improvements to streaming responses and context length handling.
Ollama 0.40.8
Recursive Flint Flint brings Recursive's coding model to Ollama. It is designed for the work coding agents do across a repository: understanding unfamiliar code, tracing bugs, implementing features, and adding tests. Reasoning, multi-turn tool use, and a 262K-token context window support longer tasks across files and tool interactions.
Ollama 0.40.7
- 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.
Ollama 0.40.6
- win: prevent orphaned runners - gguf: add the q2_0 tensor and file types - Launch clef in Ollama's cloud - use identifiers for --ask mode question keys
Ollama 0.40.5
NVIDIA Nemotron 3.5 Super NVIDIA 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 0.40.4
Decision models in the CLI Decision models can now be used directly from the terminal with ollama run , ask yes/no questions, classify text into labels, or score against a rubric: ollama run nimble --ask "Is a refund being requested?" < ticket.txt ## - Kev decision models are now supported by the MLX runner on Apple silicon - ollama launch can now be used...
Ollama 0.40.3
- ollama launch claude no longer shows a warning about Claude connectors - ollama launch codex no longer warns about service tiers - Paused background model upgrade for embedding and other request performance,