Jan v0.6.10: Auto Optimize, custom backends, and vision model imports - Jan

import ChangelogHeader from "@/components/Changelog/ChangelogHeader" import { Callout } from 'nextra/components'

Highlights 🎉

Auto Optimize: One-click hardware-aware performance tuning for llama.cpp.
Custom Backend Support: Import and manage your preferred llama.cpp versions.
Import Vision Models: Seamlessly import and use vision-capable models.

🚀 Auto Optimize (Experimental)

Intelligent performance tuning — Jan can now apply the best llama.cpp settings for your specific hardware:

Hardware analysis: Automatically detects your CPU, GPU, and memory configuration
One-click optimization: Applies optimal parameters with a single click in model settings

<Callout type="info"> Auto Optimize is currently experimental and will be refined based on user feedback. It analyzes your system specs and applies proven configurations for optimal llama.cpp performance. </Callout>

👁️ Vision Model Imports

Enhanced multimodal support — Import and use vision models seamlessly:

Direct vision model import: Import vision-capable models from any source
Improved compatibility: Better handling of multimodal model formats

🔧 Custom Backend Support

Import your preferred llama.cpp version — Full control over your AI backend:

Custom llama.cpp versions: Import and use any llama.cpp build you prefer
Version flexibility: Use bleeding-edge builds or stable releases
Backup CDN: New CDN fallback when GitHub downloads fail
User confirmation: Prompts before auto-updating llama.cpp

Update your Jan or download the latest.

For the complete list of changes, see the GitHub release notes.