Releasesby GlyphOllama 0.34.2
- Added first-run setup when running ollama , with options to sign in or continue locally. Setup completion is shared with the desktop app on macOS and Windows. Added ollama://apps to open the desktop app’s Apps page directly on macOS and Windows. Fixed excessive memory growth during long generations with MLX speculative decoding. Updated llama.cpp.
Also shipped Sep 17, 2026Ollama in September 2026 →
You can add unit tests to pipelines to validate your SQL transformation logic against mock datasets
You can add unit tests to pipelines to validate your SQL transformation logic against mock datasets. Unit tests for pipelines are generally available (GA).
Metastore-level ABAC policies are in Beta
Metastore-level ABAC policies are in Beta in Unity Catalog. You can now attach an ABAC policy (row filter, column mask, GRANT, or DENY) at the metastore level, so a single policy applies across every catalog in the metastore, including catalogs created later.
Moonshot AI Kimi K2.7 is scheduled for retirement
Moonshot AI Kimi K2.7 will be retired on October 30, 2026. Kimi K3 is the recommended replacement. See Deprecated and retired models for migration guidance.
HTML generation in Snowflake CoWork (Preview)
HTML generation is now available in preview as part of document generation in Snowflake CoWork. You can ask Snowflake CoWork to generate an HTML file from your analysis, the same way you generate a PDF or PowerPoint. Generation requires the Cortex Agent code execution tool on the associated agent.
Base environments are now supported on classic compute (Beta)
You can now use base environments to manage Python dependencies on classic compute. You can use Databricks-provided environments or custom workspace-level environments. See Manage dependencies using environments .
Snowpark Container Services backup instance types (General availability)
Backup instance types for Snowpark Container Services compute pools are now generally available and are no longer in Preview .
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Ollama 0.34.1
- MLX safetensors ollama create no 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.
Ollama 0.34.3
GET /api/show now advertises each model's thinking controls and default: Available in the CLI with: ollama show gemma4 thinking levels false, true default true Available in the API with: curl http://localhost:11434/api/show -d ' {"model": "glm-5.3-flash:cloud"} ' { "thinking" : { "values" : [ " low " , " high " , " max " ], "default" : " max " } } Also...
Ollama 0.34.4
- Structured outputs on thinking models now apply in a single pass, making them faster and more reliable. Fixed intermittent "model not found" errors with a large local library Fixed the macOS app becoming unresponsive when checking if ChatGPT or Codex is running. Qwen 3.8 prompt processing is faster on Apple Silicon.
Ollama 0.40.0
Models run on MLX on Apple Silicon by default In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX.
Ollama 0.35.0
Decision models Ollama now supports decision models through /v1/systemone, based on TypeSafe’s Jev API. Decision models return choices, probabilities, and scores instead of text. Use them for tasks such as ticket triage, model routing, and content classification.
Ollama 0.35.1
Clef decision models Ollama now supports Clef and Clef Flash, Cloudflare's new open-source decision models, through /v1/systemone. Clef (27B) and Clef Flash (9B) are multimodal: requests can now include images alongside the text state, shared by all questions and scored jointly with it.
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 0.40.2
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.