llama.cpp vs KTransformers: catalog facts
 llama.cpp |  KTransformers |
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Free Free and open source under the MIT licence. |
Free Free to use; published on GitHub. |
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Windows, macOS, Linux, Android, Command line |
Linux, Self-hosted |
- No Python and no dependencies; one binary runs the model
- Quantisation down to 1.5 bits fits big models into small memory
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- Runs very large models by offloading between CPU and GPU
- Supports LoRA fine-tuning as well as inference
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- Command line first; the web interface is basic next to dedicated apps
- Quantising hard reduces answer quality, and the trade-off is yours to judge
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- Aimed at technical users comfortable with setup and configuration
- Needs substantial hardware for the largest models
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Downloadable app |
Self-hosted |
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Open source |
Closed source |
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License: MIT |
License not stated |
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No account needed |
No account needed |
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Works offline |
Works offline |
Checked September 21, 2026 | Checked October 2, 2026 |
Catalog facts only. Anything “not stated” is unconfirmed. Check full listings for details.
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