Runtime comparison
MLX LM vs Text Generation WebUI
MLX LM is a MIT-licensed runtime for macOS running on Metal; Text Generation WebUI is AGPL-3.0-licensed for Linux · macOS · Windows on CUDA · Metal · CPU · ROCm. MLX LM rates easier to set up (4/5 vs 3/5 in our sourced ratings). Pick MLX LM for maximum control over how the model runs; pick Text Generation WebUI for people who want a desktop app and no terminal.
| Spec | MLX LM | Text Generation WebUI |
|---|---|---|
| License | MIT | AGPL-3.0 |
| Operating systems | macOS | Linux · macOS · Windows |
| GPU backends | Metal | CUDA · Metal · CPU · ROCm |
| Install | pip | source / binary |
| Ease of use | 4/5 | 3/5 |
| Quant formats | mlx | — |
| Engine | mlx | llama.cpp|exllamav2|transformers |
| GitHub stars | 6,236 | 47,437 |
| Latest version | v0.31.3 | v4.9 |
| Graphical app (GUI) | No | Yes |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | No | Yes |
| Multi-GPU | No | Yes |
| Speculative decoding | No | Yes |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
MLX LM
Best for maximum control over how the model runs. Command line and server, runs on Metal.
Full MLX LM guide →Text Generation WebUI
Best for people who want a desktop app and no terminal. Ships a graphical app, installs in one line, runs on CUDA · Metal · CPU · ROCm.
Full Text Generation WebUI guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: MLX LM github.com/ml-explore/mlx-lm (as of 2026-07-08); Text Generation WebUI github.com/oobabooga/text-generation-webui (as of 2026-07-08).