Ollama - Package Updates
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[1.15.5]
- Update ollama to 0.32.6
- Full Changelog
- Qwen3.5 is faster on Apple GPUs: the MLX engine now uses the model's MTP head for speculative decoding automatically
/v1/chat/completionsstreaming now matches OpenAI's wire format:roleonly on the first chunk,finish_reasonon its own chunk,- and usage in a separate chunk with
stream_options.include_usage. - Truncated OpenAI responses now report
finish_reason: "length"instead of"tool_calls". ollama run kimi-k3now offerskimi-k3:cloudfor cloud-only models that publish no default tag, instead of failing.- TUI fixes: pipe-delimited prose no longer renders as a table, Enter accepts the highlighted
@file completion, and/prompt - scrolling is no longer laggy.
- Experimental image generation has been temporarily removed. Continue using 0.32.5 for image generation support
- Updated the MLX and llama.cpp engines.
- Full Changelog: https://github.com/ollama/ollama/compare/v0.32.5...v0.32.6-rc0
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[1.15.6]
- Update ollama to 0.32.7
- Full Changelog
- Muse Glimmer, Meta's newest open model and the first released by Meta Superintelligence Labs, is now available on Ollama. It's a 30B multimodal model purpose-built for agent workloads that run locally.
- With Ollama, you can now use Muse Glimmer to power coding agent applications such as Claude Code, Codex, Pi and more, as well as long-running personal assistants such as OpenClaw and Hermes.
- Ollama's MLX engine provides state-of-the-art performance on Apple Silicon for this model, with support for DFlash and image input as of Ollama 0.32.7.
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[1.15.7]
- Update ollama to 0.32.9
- Full Changelog
- Added the Nemotron 3 architecture
- Handle boundary condition in Muse Glimmer function calling parser
- Add Muse Glimmer support for NVIDIA, AMD, and additional platforms
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[1.15.8]
- Update ollama to 0.32.14
- Full Changelog
- llm: transcode WebP images for llama-server
- renderers/qwen: tolerate non-leading system messages
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[1.15.9]
- Update ollama to 0.32.15
- Full Changelog
- New desktop onboarding flow on first launch
- Caches resolved model metadata between requests, cutting time-to-first-token by roughly half (TTFT dropped from ~995 ms to ~524 ms in benchmarks)
- Fixes a bug where chat and generate could wedge after a mid-stream parser error
- Qwen 3.8 system messages are now normalized so non-leading system messages are handled consistently
- MLX and llama.cpp dependency updates
- @gaugarg-nv made their first contribution in #17752
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[1.16.0]
- Update ollama to 0.33.0
- Full Changelog
- Developers can now easily configure Claude Desktop to seamlessly work with Ollama as a third-party gateway provider.
- Fixed a hang where agent clients that cancel long prefills
- Prefill restore points are now trustworthy by construction: a cancelled prefill keeps every restore point it crossed, so retries resume where they stopped instead of restarting from scratch
- Resumed prefills no longer record restore points that fail to cover what they claim; on models with recurrent layers this previously forced a request matching 46k of 47k tokens to reprocess from zero
- Disabled Claude Code's "tokens left" token-countdown system message, which Ollama moved to the front of the prompt and broke the KV cache on every request
- DeepSeek Harness launcher now falls back to
npxwhen the global npm install fails, with Windows command-shim support - MLX dependency update (#17886)
- Fixed broken default packaging caused by macOS-specific assumptions affecting Linux/Windows builds
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[1.16.1]
- Update ollama to 0.33.1
- Full Changelog
- MLX: Qwen3.8 Flash Next support
- MLX and llama.cpp update
- mlxrunner: add structured output support
- mlxrunner: avoid Metal GPU timeouts when loading models from slow storage
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[1.16.2]
- Update ollama to 0.33.2
- Full Changelog
- Ollama's app now follows the system appearance again, restoring dark mode support
- Fixed the macOS app to properly hand off to an already-running instance instead of starting a second one
- The Claude Desktop proxy no longer interrupts in-flight requests when the model catalog updates
- Full Changelog: https://github.com/ollama/ollama/compare/v0.33.1...v0.33.2
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[1.16.3]
- Update ollama to 0.33.3
- Full Changelog
- gemma4 now supports images and audio on MLX engine
- Report cached prompt tokens
- Honor GGUF model defined default parameters
- MLX, MLX-C, llama.cpp update
- @marcelpetrick made their first contribution in #17579.3)
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[1.17.0]
- Update ollama to 0.34.0
- Full Changelog
- Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS.
- This release also improves structured output performance on Apple Silicon, adds support for OpenAI-compatible client tool search and response compaction.
- Full Changelog: https://github.com/ollama/ollama/compare/v0.33.3...v0.34.0
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[1.17.1]
- Update ollama to 0.34.1
- Full Changelog
- MLX safetensors
ollama createno longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quantization. - Improved MLX memory handling on Apple Silicon
- Runaway repeat token detection now requires 100 repeat tokens for reduced false positives (e.g. OCR)
/api/tagsis much faster on large model libraries (3.1 s 294 ms cold in testing), and model capabilities are now reported consistently.- Deprecated
typical_p: it can no longer be set when creating new models, existing GGUF models retain support. - MLX and llama.cpp updates
- Full Changelog: https://github.com/ollama/ollama/compare/v0.34.0...v0.34.1-rc1
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