Impact Score: 5/10
Ollama v0.1.13 — Release Notes & Engineering Impact
Source available — automated, not human-reviewed
Component: ollama · Channel: stable. Automated analysis, not a compatibility certification. How this works.
Analysis updated: 2026-11-01.
⚡ Executive Summary (TL;DR)
Ollama v0.1.13. Source highlight: Starling: a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.
Who Does This Impact? (Role-Based Analysis)
💻 Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
📊 Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
⚙️ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
⚡ Performance & Enhancements (2)
- Starling: a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.
- Improved progress bar when running `ollama pull` with a simpler design that displays a more consistent download speed and remaining time
🔧 Bug Fixes & Patches (1)
- Fixed issue where Linux installer script would encounter an error when installing on Red Hat Enterprise Linux with an Nvidia GPU
📄 View Raw Release Notes (Original Developer Log)
## New models
* [Starling](https://ollama.ai/library/starling-lm): a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.
* [Meditron](https://ollama.ai/library/meditron): Open-source medical large language model adapted from Llama 2 to the medical domain.
* [DeepSeek LLM](https://ollama.ai/library/deepseek-llm) An advanced language model crafted with 2 trillion bilingual tokens.
## What's Changed
* Improved progress bar when running `ollama pull` with a simpler design that displays a more consistent download speed and remaining time
* The system prompt can now be set in `ollama run` using `/set system <system prompt>`.
* Parameters can now be set in `ollama run` using `/set <parameter> <value>`. Examples:
* Set the context size to 16K: `/set parameter num_ctx 16384`
* Set the temperature to 1: `/set parameter temperature 1`
* Set the seed: `/set parameter seed 1048`
* Fixed issue where Linux installer script would encounter an error when installing on Red Hat Enterprise Linux with an Nvidia GPU
## New Contributors
* @kasumi-1 made their first contribution in https://github.com/jmorganca/ollama/pull/1281
* @rootedbox made their first contribution in https://github.com/jmorganca/ollama/pull/1287
* @ftorto made their first contribution in https://github.com/jmorganca/ollama/pull/1299
* @ToasterUwU made their first contribution in https://github.com/jmorganca/ollama/pull/1301
* @jeremiahbuckley made their first contribution in https://github.com/jmorganca/ollama/pull/1321
* @smartalecH made their first contribution in https://github.com/jmorganca/ollama/pull/994
**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.12...v0.1.13