Releasesby IbisOllama 0.40.5
Update10 days agoUnverifiedAdded Oct 17, 2026
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.
More Ollama releases
Every Ollama releaseOllama 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 0.40.4
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,
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 0.40.2
Model upgrades Models downloaded with earlier versions of Ollama are upgraded in the background the first time you run them, for better performance and compatibility when running on llama.cpp. To make downgrading safe, Ollama keeps the original copy as a backup, so upgraded models are temporarily kept on disk.
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 0.40.1
- server: proxy cloud usage and balance APIs - llama: fix clef head reads past 2GiB on windows - cmd: remove account step from CLI onboarding - manifest: avoid symlinks on Windows - docs: fix 6 dead links in README community integrations list - docs: fix broken download links in app README - mlx: drop carried metal residency patch now that it is upstream
Ollama 0.40.9
Speech Ollama can now generate speech with Phonon on Apple Silicon. ollama run plays text or a chat model's reply aloud as the audio is generated, and apps can stream audio through the OpenAI-compatible /v1/audio/speech endpoint. sh ollama run phonon "Hello from Ollama." d3 decision models d3 brings vLLM Semantic Router's decision models to Ollama.
Also shipped on Oct 14, 2026
Ollama in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).