MLX on Mac
Twoody Mac installs the MLX stack, downloads weights and exposes a compatible local server.
Twoody Private LLM
Choose, install and control your open-source models.
Private LLM lets Twoody Server route requests to a model you control: MLX on Mac, Ollama, llama.cpp, vLLM, TGI or an explicitly configured cloud provider.
Replaceable providers
OpenAI-compatible providers let you switch runtimes without rewriting the product experience.
Model per use case
Fast, coding, reasoning, long documents: the right model depends on the task.
So funktioniert es
01
Detect
Twoody knows connected machines and their capabilities.
02
Install
The user starts model download from the app.
03
Select
The model becomes the active provider for the chosen mode.
04
Observe
RAM, latency and tok/s show whether the machine keeps up.
Wichtige Details
Machine guide
- 24-32 GB RAM: trials, solo use, 3B-8B models.
- 48-64 GB RAM: comfortable use, Qwen 8B/14B, Qwen Coder 14B.
- 128 GB+: team use, Qwen 32B, headroom for context and documents.
Benchmark wording
- Tok/s are rough figures measured through MLX.
- Speed depends on machine, context, quantization and load.
- Quality depends on model, prompt, tools and documents.
FAQ
Is it only local?
No. Private LLM foregrounds local mode, but Twoody Server can also route to an explicitly configured cloud provider.
Who chooses the model?
The user or admin depending on context. The website should show remote install and selection.