Ollama 0.40.10
GAyesterdayUnverifiedAdded Oct 24, 2026
Ollama now supports the NVIDIA Nemotron 3.5 Bolt E4B vision-language model, which features a 128K-token context window.
Topics: LLMs
More Ollama releases
Every Ollama releaseOllama 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.
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,
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.
Also shipped on Oct 23, 2026
Ollama in October 2026Retrieve Cortex Search (Public Preview)
The CORTEX_SEARCH_RETRIEVE table function is now in public preview, allowing users to execute low-latency search queries directly from SQL for RAG and chatbot applications.
DataFrame caching on serverless compute is now in Public Preview
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Box Audit Logs managed ingestion connector (Beta)
The Box Audit Logs connector for Lakeflow Connect is now available in beta, enabling the ingestion of enterprise audit events into Databricks.
Manage Test Engine workflows with Terraform and the REST API
Users can now manage Test Engine workflows using the buildkite_test_suite_workflow Terraform resource or the REST API, enabling code-based configuration of monitors and actions.
Flagship - Target Flagship feature flags with structured evaluation context
Flagship now supports nested objects and arrays in evaluation context, allowing developers to target feature flags based on complex user profiles and tags.
Responses API for the Cortex REST API (Preview)
The new Responses API in the Cortex REST API provides OpenAI-compatible endpoints for accessing models.