Ollama v0.1.19stable Released Jan 08, 2024
Impact Score: 5/10

Ollama v0.1.19 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: ollama ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Ollama v0.1.19. Source highlight: This release focuses on performance and fixing a number issues and crashes relating to memory allocation.

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

๐Ÿ”ง Bug Fixes & Patches (5)

  • Fixed "out of memory" errors when running models such as `llama2`, `mixtral` or `llama2:13b` with limited GPU memory
  • Fixed CUDA errors when running on older GPUs that aren't yet supported
  • Fixed an issue where pressing up or down arrow keys would cause the wrong prompt to show in `ollama run`
  • Fixed performance issues on Intel Macs
  • Fixed an error that would occur with old Nvidia GPUs
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
This release focuses on performance and fixing a number issues and crashes relating to memory allocation. ## New Models * [LLaMa-Pro](https://ollama.ai/library/llama-pro): An expansion of LLaMa by Tencent to an 8B that specializes in language, programming and mathematics. ## What's Changed * Fixed "out of memory" errors when running models such as `llama2`, `mixtral` or `llama2:13b` with limited GPU memory * Fixed CUDA errors when running on older GPUs that aren't yet supported * Increasing context size with `num_ctx` will now work (up to a model's supported context window). To use a 32K context window with Mistral: ``` # ollama run /set parameter num_ctx 32678 # api curl http://localhost:11434/api/generate -d '{ "model": "mistral", "prompt": "Why is the sky blue?", "options": {"num_ctx": 32678} }' ``` * Larger models such as `mixtral` can now be run on Macs with less memory * Fixed an issue where pressing up or down arrow keys would cause the wrong prompt to show in `ollama run` * Fixed performance issues on Intel Macs * Fixed an error that would occur with old Nvidia GPUs * `OLLAMA_ORIGINS` now supports browser extension URLs * Ollama will now offload more processing to the GPU where possible ## New Contributors * @sublimator made their first contribution in https://github.com/jmorganca/ollama/pull/1797 * @gbaptista made their first contribution in https://github.com/jmorganca/ollama/pull/1830 **Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.18...v0.1.19