Local LLMs cut token costs and keep data on-machine. Ollama, LM Studio, and KoboldCpp cover different workflows.
Local inference trades VRAM/CPU for privacy and predictable cost.
Quick comparison
| Engine | Best for | API | UX |
|---|---|---|---|
| Ollama | Servers, scripts, Docker | OpenAI-compatible + CLI | Developer-first |
| LM Studio | Desktop exploration | OpenAI-compatible | Polished GUI |
| KoboldCpp | Max control, offload | Multiple APIs | Power users |
GGUF quantizations (e.g. Q4_K_M) balance quality against VRAM.
Choosing
- Automation / Docker → Ollama
- Desktop chat + easy API → LM Studio
- Bleeding-edge local control → KoboldCpp