Impact Score: 5/10
Ollama v0.11.7 — 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 v0.11.7. Source highlight: DeepSeek-V3.1 is now available to run via Ollama.
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.
🔧 Bug Fixes & Patches (3)
- Fixed issue where multiple models would not be loaded on CPU-only systems
- Fixed issue where text would be emitted when there is no opening `<think>` tag from a model
- Fixed issue where tool calls containing `{` or `}` would not be parsed correctly
📄 View Raw Release Notes (Original Developer Log)
## DeepSeek-V3.1
[DeepSeek-V3.1](https://ollama.com/library/deepseek-v3.1) is now available to run via Ollama.
This model supports hybrid thinking, meaning thinking can be enabled or disabled by setting `think` in Ollama's API:
```
curl http://localhost:11434/api/chat -d '{
"model": "deepseek-v3.1",
"messages": [
{
"role": "user",
"content": "why is the sky blue?"
}
],
"think": true
}'
```
In Ollama's CLI, thinking can be enabled or disabled by running the `/set think` or `/set nothink` commands.
## Turbo (in preview)
DeepSeek-V3.1 has over 671B parameters, and so a large amount of VRAM is required to run it. Ollama's [Turbo mode](https://ollama.com/turbo) (in preview) provides access to powerful hardware in the cloud you can use to run the model.
### Turbo via Ollama's app
<img width="1131" height="712" alt="Screenshot 2025-08-25 at 1 23 37 PM" src="https://github.com/user-attachments/assets/e5e8d626-c935-4dfd-87bc-b0bebb0361be" />
1. Download Ollama for macOS or Windows
2. Select `deepseek-v3.1:671b` from the model selector
3. Enable Turbo
### Turbo via Ollama's CLI and libraries
1. Create an account on [ollama.com/signup](https://ollama.com/signup)
2. Follow the [docs for Ollama's CLI](https://github.com/ollama/ollama/blob/main/docs/turbo.md#ollamas-cli) to upload authenticate your Ollama installation
3. Run the following:
```
OLLAMA_HOST=ollama.com ollama run deepseek-v3.1
```
For instructions on using Turbo with Ollama's Python and JavaScript library, see the [docs](https://github.com/ollama/ollama/blob/main/docs/turbo.md)
## What's Changed
* Fixed issue where multiple models would not be loaded on CPU-only systems
* Ollama will now work with models who skip outputting the initial`<think>` tag (e.g. DeepSeek-V3.1)
* Fixed issue where text would be emitted when there is no opening `<think>` tag from a model
* Fixed issue where tool calls containing `{` or `}` would not be parsed correctly
## New Contributors
* @zoupingshi made their first contribution in https://github.com/ollama/ollama/pull/12028
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.11.6...v0.11.7