Question 1

What is Llama Control?

Accepted Answer

Llama Control is a free desktop application for Windows, macOS (Apple Silicon), and Linux that serves as a control panel for llama.cpp. It lets you manage local GGUF models, chat with your AI, benchmark performance, auto-tune server flags with AI assistance, and browse HuggingFace, all from one interface.

Question 2

Is Llama Control free?

Accepted Answer

Yes, Llama Control is 100% free to download and use. Download the installer from our GitHub releases page. No subscriptions, no hidden fees, no cloud requirements. The app itself is closed-source freeware; the engine it drives, llama.cpp, is open source.

Question 3

Does it work with any GGUF model?

Accepted Answer

Yes. Llama Control supports all GGUF-format models. Simply point the app to a folder containing your .gguf files, and it will automatically scan, parse metadata, and display them in the library. The app supports models from Llama, Mistral, Qwen, Gemma, Phi, and any other architecture that llama.cpp supports.

Question 4

Do I need to know the command line?

Accepted Answer

No. Llama Control provides a full graphical interface for everything: managing models, configuring server flags, chatting, benchmarking, and browsing HuggingFace. The Auto-Tune feature even eliminates the need to manually craft launch flags. AI handles it for you. A built-in terminal is available for advanced users, but it's entirely optional.

Question 5

What hardware do I need?

Accepted Answer

Llama Control runs on any 64-bit Windows PC (Windows 10 or later), Apple Silicon Mac (M1 and later), or Linux (64-bit, glibc 2.31+). On Windows and Linux, a dedicated NVIDIA GPU with 8GB+ VRAM is recommended for 7B models (AMD/Intel GPUs and CPU-only inference also work, just slower). On Mac, llama.cpp uses Apple Silicon's unified memory directly via Metal, no separate VRAM to worry about — 16GB+ unified memory is recommended for 7B models.

Question 6

How does Auto-Tune work?

Accepted Answer

Auto-Tune uses AI to research the best launch flags for your specific model and hardware. It suggests flag candidates, runs automated benchmarks for each, and selects the winner based on speed and quality metrics. It handles KV cache quantization, context and chunk sizes, and VRAM fit.

Question 7

Is my data private?

Accepted Answer

Completely. Llama Control runs locally on your machine. Your models stay on your disk. Chat conversations never leave your PC. AI features (Auto-Tune, quality judging) use your own API keys if you configure them. We never store or transmit your data.

Question 8

Does it support AMD or Intel GPUs?

Accepted Answer

Yes. Llama Control auto-detects your GPU vendor (NVIDIA, AMD, or Intel) and picks the appropriate llama.cpp prebuilt. Benchmarking and Auto-Tune work across all supported GPU vendors.

Question 9

How does this compare to Ollama?

Accepted Answer

Ollama is a great tool if you want a simple 'set and forget' experience. Llama Control is different. It gives you fine-grained control over every llama.cpp flag, live server logs, per-model profiles, benchmarking, and analytics. If you want transparency and control over exactly how your models run, Llama Control is built for you. It's the difference between a pre-configured runtime and a real control panel.

Question 10

What features are available in Settings?

Accepted Answer

Settings includes: configuring your GGUF model directories (with auto-detection for LM Studio and common paths), hardware detection (GPU, VRAM, CPU, RAM), built-in llama.cpp installer and updater, AI provider configuration (Claude, OpenAI, Gemini keys encrypted at rest), language switching (Polish/English), and full settings backup (export/import your config, profiles, and keys).

Skip the command line.Let AI tune the flags.

Interface and terminal. One window.

Split the screen. Work hybrid.

Browse and download from HuggingFace.

Four ways to benchmark.

Speed

Quality

Perplexity

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Ready to take control?