Ollama

This release introduces documentation for Cline CLI integration and fixes an issue with Hermes installation on Windows, alongside an update to the underlying llama.cpp version.

This release addresses a critical crash related to the gemma4:12b model and includes an integration fix for Hermes on Windows.

This release includes an update to the underlying llama.cpp version and fixes an issue related to cleaning up the llama-server process on Windows.

This release updates the underlying llama.cpp version and includes a fix for properly terminating the llama-server process on Windows during cleanup.

This release introduces support for the new gemma4-12b model within the models module.

This release introduces support for Cline CLI and Qwen integration, alongside various stability improvements and fixes related to llama-server and model loading.

This release introduces support for Cline CLI and Qwen integration, alongside numerous stability improvements and fixes related to llama-server and model loading.

This release introduces new features like Cline CLI support and Qwen code integration, alongside several bug fixes related to model limits, server counts, and markdown handling. It also updates the underlying llama.cpp version.

This release introduces memory trace logging for MLX and integrates Codex application support via the launch mechanism.

This release introduces memory trace logging for MLX and integrates Codex application support into the launch mechanism.

The OpenAI Codex App is now available on Ollama, integrating local and cloud models for coding workflows. This release also introduces a built-in browser and code review mode, alongside MLX sampler improvements for Apple Silicon.

This release introduces support for vision models with image inputs when launching opencode via ollama and fixes an issue with Claude tool result formatting for local image paths.

This release introduces support for vision models with image inputs when launching opencode via ollama and fixes an issue with Claude tool result formatting for local image paths.

This pre-release updates the architecture to directly support llama.cpp, enabling GGUF compatibility and leveraging MLX for Apple Silicon acceleration. Users are encouraged to test performance and stability.

Ollama 0.30 introduces significant performance and compatibility improvements by integrating llama.cpp, broadening hardware support, and adding new model capabilities.

This release transitions Ollama's architecture to directly support llama.cpp, enabling GGUF compatibility and MLX acceleration on Apple Silicon. A known issue is that `nomic-embed-text` now enforces lowercase input.

This release shifts the core architecture to directly support llama.cpp and the GGUF format, introduces MLX acceleration for Apple Silicon, and fixes case handling for the nomic-embed-text model.

This pre-release updates the architecture to directly support llama.cpp and the GGUF format, while introducing MLX acceleration for Apple Silicon inference. Feedback is requested on performance and stability.

This pre-release version overhauls the architecture to directly support llama.cpp, enabling GGUF compatibility and leveraging MLX for Apple Silicon acceleration. Users are encouraged to provide feedback on performance and stability.

This pre-release updates the core architecture to directly support llama.cpp, enabling GGUF compatibility and leveraging MLX for Apple Silicon acceleration. Users are encouraged to provide feedback on performance and stability.

This pre-release version overhauls the architecture to use llama.cpp directly, enabling GGUF support and leveraging MLX for Apple Silicon acceleration. Users are encouraged to provide feedback on performance and stability.

This pre-release updates the architecture to directly support llama.cpp and the GGUF format, while introducing MLX acceleration for Apple Silicon inference.

This pre-release updates the architecture to directly support llama.cpp, enabling GGUF compatibility and utilizing MLX for Apple Silicon acceleration. Feedback is requested on performance and memory utilization.

This release focuses on hardening update flows and refining model push behavior within the MLX integration.

This release focuses on stability and improvements within the MLX backend, including refined model pushing and fixes for inference timeouts and metallib leakage.

This release focuses on improvements to the Ollama server caching and the desktop launch experience, including plan-aware model gating and disabling Claude Desktop launch.

This release introduces significant performance improvements via API response caching and refines the launch integration management workflow. The default behavior of `ollama launch` has been updated regarding Claude Desktop integration.

This release introduces Gemma 4 MTP speculative decoding support for Macs, significantly boosting performance for the Gemma 4 31B model, alongside general threading fixes and a Go version bump.

This release introduces Gemma 4 MTP speculative decoding support for Macs, significantly boosting performance for the Gemma 4 31B model on coding tasks, alongside underlying threading fixes and a Go version bump.

This release introduces new features like sourcing featured models from an experimental endpoint and adds launch support for the Claude application. It also includes a fix for OpenClaw gateway timeouts on Windows.

This release introduces support for Claude Desktop integration with Ollama and enhances stability by fixing Windows gateway timeouts and hardening Metal initialization.

This release introduces model batching support and TensorRT Model Optimizer import for the mlx backend. It also includes several bug fixes related to tokenization and desktop application startup behavior.

This release introduces model batching support and fixes several issues related to tokenization and desktop application startup behavior. It also includes support for NVIDIA TensorRT Model Optimizer import.

This release introduces model batching support and adds NVIDIA TensorRT Model Optimizer import capability. Several minor bugs related to tokenization and desktop app session handling were also resolved.

This release introduces support for NVIDIA TensorRT Model Optimizer import within mlx and fixes an issue related to multi-regex BPE offset handling in the tokenizer. It also includes performance improvements by batching the sampler across multiple sequences in mlxrunner.

This release introduces two new models: NVIDIA's Nemotron 3 Omni and Poolside's Laguna XS.2.

This release introduces flexibility in the API by allowing "max" for the think parameter and improves OpenAI response mapping for reasoning effort.

This release introduces structured outputs and ollama cloud support, alongside updating the web search mechanism to use bundled OpenClaw.

This release introduces structured outputs and ollama cloud support, alongside updating the web search mechanism to use bundled OpenClaw.

This release introduces kimi CLI integration and includes several performance and correctness fixes for MLX models and server formatting logic.

This release introduces kimi CLI integration and includes several performance and correctness fixes across MLX models and server formatting logic.

This release introduces Copilot CLI integration and support for the hermes model within the launch command, alongside several fixes to configuration handling during launch.

This release introduces Copilot CLI integration and support for the hermes model within the launch command, alongside several fixes related to launch configuration handling.

This release introduces Gemma4 support on the MLX backend and updates the ROCm version to 7.2.1 on Linux. It also includes various fixes and improvements for MLX operations and Gemma4 rendering.

This release primarily updates the ROCm dependency to version 7.2.1 on Linux and fixes a quality regression in specific Gemma model configurations.

This release focuses on improving Gemma 4 and parallel tool calling capabilities, alongside general application bug fixes and documentation updates for the Hermes Agent.

This release introduces documentation for Hermes agent integration and includes several bug fixes related to model parsing, Gemma4 handling, and UI validation upon model switching.

This release includes documentation updates, fixes for parallel tool call indexing, and UI adjustments for image attachment validation upon model change. The Gemma4 renderer was also updated.

This release focuses on improving the command line interface, refining launch configurations for specific models (glm-5.1, gemma4), and enhancing setup for openclaw and opencode integration. It also includes several minor bug fixes across the application.

This release introduces OpenClaw channel setup for integrating messaging platforms like WhatsApp and Telegram via `ollama launch openclaw`, enables flash attention for Gemma 4, and fixes a bug in the /save command.

This release introduces setup for openclaw channels and improves command-line interaction, alongside refining safetensors handling and error reporting.

This release introduces OpenClaw channel setup via `ollama launch openclaw` and enables flash attention and tool call repair for Gemma 4 models. A bug fix was also implemented for the `/save` command.

This release focuses on performance improvements for MLX (M5 with NAX) and Gemma4 (flash attention), alongside minor fixes for model creation.

This release focuses on performance improvements for MLX (M5 with NAX) and Gemma4 (flash attention), alongside fixes for model creation paths and safetensor loading.

This release focuses on performance improvements for M5 models via NAX integration and enables flash attention support for gemma4.

This release includes improvements to Gemma 4 Tool Calling, adds the latest models to the Ollama App, and fixes issues with launching the OpenClaw TUI.

This release updates the default application home view to use the new chat interface by default. It includes minor changes related to the application's user interface.

This patch release introduces new benchmarking capabilities and resolves several parsing and build issues related to gemma4 and ROCm builds.

This release introduces performance improvements via flash attention for gemma4 and fixes several parsing and build issues related to argument handling and ROCm compilation.

This release introduces the new Gemma 4 model family variants (E2B, E4B, 26B, 31B) and enhances tokenizer capabilities with SentencePiece-style BPE support.

This release introduces the new Gemma 4 model family variants (E2B, E4B, 26B, 31B) and enhances tokenizer capabilities with SentencePiece-style BPE support.

This release introduces changes to the launch command behavior, improves VS Code path detection, and includes several CI/build hardening updates.

This release introduces changes to the launch command behavior, updates the TUI title handling, and improves CI build processes for MLX and CUDA.

This release introduces improvements to KV cache handling, adds a web search plugin to `ollama launch pi`, and resolves several model loading and parsing bugs across different architectures.

This release introduces a warning for small context lengths and improves launch logic for VS Code integration, alongside various CI and TUI updates.

This release focuses on stability improvements, including fixing a memory leak in mlx and adjusting settings for the Grok model on ggml. It also updates VS Code documentation and hides the VS Code launch option.

This release introduces debug request logging and improves MLX performance with better cache sharing and new format imports. Several stability fixes were also implemented across the desktop app, MLX runner, and CI.

This release introduces debug request logging, improves KV cache sharing in mlxrunner, and fixes several stability issues including desktop app loading hangs and mlxrunner deadlocks.

This release introduces checks for npm and git installation prerequisites for OpenClaw and significantly speeds up local Claude Code execution. Several minor bugs related to model launching and package registration were also fixed.

This release introduces significant performance and feature enhancements for the MLX backend, including model eviction, quantized embeddings, and fast SwiGLU. It also includes a fix for the web_search legacy path in the cloud proxy.

This release introduces significant performance and feature enhancements for MLX backend, including model eviction, quantized embeddings, and fast SwiGLU. It also includes a fix for the web_search legacy path in the cloud proxy.

This release focuses on improving the benchmarking tool and adding stability fixes for launch commands, particularly concerning headless mode and systemd availability.

This release focuses on improving the benchmarking tool and adding stability fixes for launch commands, particularly concerning headless mode and systemd availability.

This release introduces documentation for `reasoning_effort` support in the OpenAI-compatible API and includes several fixes related to cloud model handling and launch command integration.

This release introduces documentation for reasoning_effort support in the OpenAI-compatible API and fixes several issues related to cloud model handling and launch command integration.

This release focuses on stability and performance improvements, including fixes for GLM tool calls, localhost handling, and updates to MLX and ROCm support. It also addresses an issue where resetting defaults disabled auto-updates.

This release focuses on stability and fixes, including repairs to GLM tool parsing, localhost handling, and cloud proxy stream disconnects, alongside build improvements for Windows and MLX.

This release focuses on stability and performance improvements, including fixes for GLM tool parsing, localhost handling, and updates to MLX and ROCm support. It also refactors the MLX runner sampler interface.

This release focuses on stability and performance improvements across parsers, cloud proxy handling, and MLX backend optimizations. It also includes fixes for Docker builds and application defaults.

This release introduces improvements to thinking level mapping and adds context length support for compaction via `ollama launch`.

This release loosens the server's thinking level constraint and adds support for Qwen 3.5 context length during launch.

This release introduces improvements to thinking level mapping and adds context length support for compaction via `ollama launch`.

This release focuses on bug fixes, specifically addressing prompt rendering issues for GLM-OCR and improving tool calling for Qwen 3.5 models.

This release focuses on stability and performance improvements for Qwen 3.5 models, particularly when running across multiple devices or using the MLX engine, and introduces peak memory reporting.

This release introduces the inclusion of tool call indices within parallel tool calls for enhanced tracking and functionality.

This patch release fixes a bug related to the correct parsing of tool calls for Qwen 3 and Qwen 3.5 models when they are emitted during the thinking process.

This release addresses a critical bug where the Windows application would crash on startup if an update was pending.

This release introduces support for the nemotron architecture and includes several performance and logging improvements, particularly for MLX-based operations.

This release introduces support for the Nemotron architecture and includes several performance and stability improvements, particularly around MLX memory usage and logging. It also updates the mlx-c bindings.

This release introduces support for the nemotron architecture and includes several performance and logging improvements, particularly for MLX-based operations. It also updates underlying MLX-C bindings.

This release introduces support for the nemotron architecture and includes several performance and logging improvements, particularly for MLX-based operations. It also updates underlying MLX-C bindings.

This release introduces UI exposure of the server context length and implements OpenClaw onboarding, alongside internal consolidation of the tokenizer.

This release introduces automatic installation and configuration of OpenClaw via Ollama, enabling easier use with open models, and enables websearch functionality when using cloud models.

This release introduces support for several new model architectures (Gemma 3, Llama 3, Qwen 3) in mlxrunner and adds the new `ollama launch` CLI command. Several minor bug fixes related to mlx model display and scheduling were also implemented.

This release introduces the ability to disable cloud models via a new setting or environment variable, and fixes rendering issues in PowerShell along with bugs affecting experimental image models.

This release introduces web search capabilities for Claude cloud models and adds an environment variable to easily disable cloud models for privacy. It also fixes rendering issues in PowerShell and restores functionality for experimental image generation models.

This release improves the installation experience on macOS and Windows and adds support for respecting the OLLAMA_LOAD_TIMEOUT variable for image generation models.

Ollama 0.16.0-rc2 introduces the powerful GLM-5 model and a new `ollama` command for simplified application launching. It also includes MLX runner improvements and a new keybinding for prompt editing.

This release introduces significant improvements to the command-line interface (CLI) and Text User Interface (TUI) experience, adds MLX runner support with safetensors quantization, and includes new login/logout aliases.

This release introduces significant UX improvements across the CLI and TUI, adds new features like external prompt editing and hidden login/logout aliases, and enhances model support with MLX integration and safetensors quantization.