Ollama vs Unsloth Desktop
Side-by-side comparison for macOS
Ollama
8.0Get up and running with large language models locally
Unsloth Desktop
8.0Desktop application for Unsloth Studio
| Metric | Ollama | Unsloth Desktop |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 331 | 611 |
| 90-day Installs | 334 | 883 |
| 365-day Installs | 334 | 883 |
| Version | 0.40.6 | 0.1.908-beta |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 180.7K | 74.9K |
| GitHub Forks | 17.8K | 6.8K |
| Open Issues | 4.0K | 1.4K |
| License | MIT | Apache-2.0 |
| Language | Go | Python |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Sep 11, 2026 | Aug 27, 2026 |
Reviews
Ollama
Ollama is a local LLM tool that enables running large language models on your machine. It supports a variety of models and hardware accelerations, making it ideal for developers and enthusiasts.
Runs large language models locally with support for different architectures and models.
Pros
- + Runs models locally for performance and customization
- + Supports a wide range of models
- + Actively developed with frequent updates
Cons
- - No auto-update feature
- - May require setup for optimal use
Unsloth Desktop
Unsloth Desktop is a powerful tool for running and training large language models (LLMs) and diffusion models locally. It supports popular models like Qwen3.8, DeepSeek-V4, and more, making it ideal for developers and researchers who want to experiment with AI models offline.
A desktop application that enables users to run and train various large language models and diffusion models locally.
Pros
- + Supports a wide range of local AI models for running and training
- + Open-source and customizable, allowing developers to tweak and extend functionality
- + User-friendly interface for managing and experimenting with models
Cons
- - Beta version may include bugs or instability
- - Limited community support and discussion outside of GitHub