Impact Score: 5/10
Ollama v0.1.8 — 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 v0.1.8. Source highlight: CodeBooga: A high-performing code instruct model created by merging two existing code models.
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 (3)
- CodeBooga: A high-performing code instruct model created by merging two existing code models.
- Dolphin 2.2 Mistral: An instruct-tuned model based on Mistral. Version 2.2 is fine-tuned for improved conversation and empathy.
- MistralLite: MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.
🔧 Bug Fixes & Patches (1)
- Fixed issue where repeated characters would be output on long contexts
📄 View Raw Release Notes (Original Developer Log)
## New Models
* [CodeBooga](https://ollama.ai/library/codebooga): A high-performing code instruct model created by merging two existing code models.
* [Dolphin 2.2 Mistral](https://ollama.ai/library/dolphin2.2-mistral): An instruct-tuned model based on Mistral. Version 2.2 is fine-tuned for improved conversation and empathy.
* [MistralLite](https://ollama.ai/library/mistrallite): MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.
* [Yarn Mistral](https://ollama.ai/library/yarn-mistral) an extension of [Mistral](https://ollama.ai/library/mistral) to support a context window of up to 128 tokens
* [Yarn Llama 2](https://ollama.ai/library/yarn-llama2) an extension of [Llama 2](https://ollama.ai/library/llama2) to support a context window of up to 128 tokens
## What's Changed
* Ollama will now honour large context sizes on models such as `codellama` and `mistrallite`
* Fixed issue where repeated characters would be output on long contexts
* `ollama push` is now much faster. 7B models will push up to ~100MB/s and large models (70B+) up to 1GB/s if network speeds permit
## New Contributors
* @dloss made their first contribution in https://github.com/jmorganca/ollama/pull/948
* @noahgitsham made their first contribution in https://github.com/jmorganca/ollama/pull/983
**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.7...v0.1.8