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Ollama vs Ollama
Side-by-side comparison for macOS
Ollama
8.0Get up and running with large language models locally
Ollama
8.0Get up and running with large language models locally
| Metric | Ollama | Ollama |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 7.9K | 331 |
| 90-day Installs | 21.0K | 334 |
| 365-day Installs | 87.8K | 334 |
| Version | 0.40.6 | 0.40.6 |
| Auto-updates | Yes | No |
| Deprecated | No | No |
| GitHub Stars | 164.8K | 180.7K |
| GitHub Forks | 14.9K | 17.8K |
| Open Issues | 2.6K | 4.0K |
| License | MIT | MIT |
| Language | Go | Go |
| Last GitHub Commit | 7mo ago | 1mo ago |
| First Seen | Dec 18, 2023 | Sep 11, 2026 |
Reviews
Ollama
Ollama enables users to run large language models locally, offering a powerful tool for developers and data scientists. It supports various models and hardware, including AMD GPUs, making it versatile for different computing needs.
Runs large language models locally on your machine.
Pros
- + Enables local running of large language models for privacy and bandwidth efficiency.
- + Supports multiple models and hardware, including AMD GPUs, broadening its accessibility.
- + Active development and strong community support enhance reliability and future potential.
Cons
- - Niche appeal, primarily targeting developers and data scientists familiar with local AI setups.
- - Setup and management of models may be complex for less technical users.
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