Impact Score: 5/10
Ollama v0.1.18 — 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 v0.1.18. Source highlight: TinyLlama: a compact 1.1B Llama model on 3 trillion tokens
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.
✨ New Features & Capabilities (1)
- Added `/? shortcuts` help command to `ollama run` to list keyboard shortcuts
⚡ Performance & Enhancements (1)
- Improved performance when sending follow up messages in `ollama run` or via the API.
🔧 Bug Fixes & Patches (3)
- Fixed issues where certain 7B models would error on GPUs with 4GB of memory or less
- Fixed issue where Llava model prompts couldn't start with a file path
- Fixed issue where model would not be correctly reloaded if options or parameters changed between requests
📄 View Raw Release Notes (Original Developer Log)
## New models
- [TinyLlama](https://ollama.ai/library/tinyllama): a compact 1.1B Llama model on 3 trillion tokens
- [OpenHermes 2](https://ollama.ai/library/openhermes): A 7B model, fine-tuned on Mistral with strong multi-turn chat skills and system prompt capabilities.
- [WizardCoder 33B](https://ollama.ai/library/wizardcoder): a new 33B state of the art code generation model: `ollama run wizardcoder:33b`
- [Dolphin Phi](https://ollama.ai/library/dolphin-phi): a 2.7B uncensored model, based on the Phi language model by Microsoft Research
## What's Changed
* Added `/? shortcuts` help command to `ollama run` to list keyboard shortcuts
* Improved performance when sending follow up messages in `ollama run` or via the API.
* Fixed issues where certain 7B models would error on GPUs with 4GB of memory or less
* Fixed issue where Llava model prompts couldn't start with a file path
* Fixed issue where model would not be correctly reloaded if options or parameters changed between requests
* Ollama will now automatically pull new models when running older `ggml` format models. If using custom `ggml` format models in a `Modelfile`, please [import GGUF](https://github.com/jmorganca/ollama/blob/main/docs/import.md) models instead.
## New Contributors
* @pgibler made their first contribution in https://github.com/jmorganca/ollama/pull/1595
* @rxlabz made their first contribution in https://github.com/jmorganca/ollama/pull/1564
* @K0IN made their first contribution in https://github.com/jmorganca/ollama/pull/1642
* @Icelain made their first contribution in https://github.com/jmorganca/ollama/pull/1708
* @kghandour made their first contribution in https://github.com/jmorganca/ollama/pull/1747
* @shuhblam made their first contribution in https://github.com/jmorganca/ollama/pull/1766
**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.17...v0.1.18