Impact Score: 5/10
Ollama v0.15.5 — 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 v0.15.5. Source highlight: Qwen3-Coder-Next: a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
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)
- `ollama launch` can now be provided arguments, for example `ollama launch claude -- --resume`
- `ollama launch` will now work run subagents when using `ollama launch claude`
- Ollama will now set context limits for a set of models when using `ollama launch opencode`
🔧 Bug Fixes & Patches (2)
- Fixed off by one error when using `num_predict` in the API
- Fixed issue where tokens from a previous sequence would be returned when hitting `num_predict`
📄 View Raw Release Notes (Original Developer Log)
## New models
- [Qwen3-Coder-Next](https://ollama.com/library/qwen3-coder-next): a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
- [GLM-OCR](https://ollama.com/library/glm-ocr): GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.
## Improvements to `ollama launch`
* `ollama launch` can now be provided arguments, for example `ollama launch claude -- --resume`
* `ollama launch` will now work run subagents when using `ollama launch claude`
* Ollama will now set context limits for a set of models when using `ollama launch opencode`
## What's Changed
* Sub-agent support for `ollama launch` for planning, deep research, and similar tasks
* `ollama signin` will now open a browser window to make signing in easier
* Ollama will now default to the following context lengths based on VRAM:
* < 24 GiB VRAM: 4,096 context
* 24-48 GiB VRAM: 32,768 context
* >= 48 GiB VRAM: 262,144 context
* GLM-4.7-Flash support on Ollama's experimental MLX engine
* `ollama signin` will now open the browser to the connect page
* Fixed off by one error when using `num_predict` in the API
* Fixed issue where tokens from a previous sequence would be returned when hitting `num_predict`
## New Contributors
* @avukmirovich made their first contribution in https://github.com/ollama/ollama/pull/13934
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.15.4...v0.15.5