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GPT4All vs LM Studio
Side-by-side comparison for macOS
GPT4All
8.0Run LLMs locally
LM Studio
8.0Discover, download, and run local LLMs
| Metric | GPT4All | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 61 | 7.0K |
| 90-day Installs | 251 | 17.4K |
| 365-day Installs | 1.4K | 40.3K |
| Version | 3.10.0 | 0.4.12,1 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 77.2K | 136 |
| GitHub Forks | 8.3K | 28 |
| Open Issues | 756 | 2 |
| License | MIT | MIT |
| Language | C++ | Python |
| Last GitHub Commit | 11mo ago | 2y ago |
| First Seen | Jan 31, 2025 | Jul 22, 2023 |
Reviews
GPT4All
GPT4All enables users to run large language models locally, offering offline AI capabilities powered by GPT4All-J. It's ideal for developers, self-hosters, and those needing offline AI solutions with diverse integration possibilities.
Runs large language models locally using GPT4All-J.
Pros
- + Runs AI models offline without internet
- + Supports a variety of AI models
- + Open-source with active community
- + No internet dependency for AI use
- + Strong developer and self-hosting community
Cons
- - No auto-update feature
- - Potential installation challenges (resolved in latest updates)
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users