50+ model formats: load any model, any quantization
Ollama supports GGUF. LM Studio supports GGUF. Oobabooga supports: GGUF, GPTQ, AWQ, EXL2, HF transformers, llama.cpp, ExLlama, AutoGPTQ, and 40+ other loaders. This means you can load any model from HuggingFace regardless of format. For power users who download models from different sources and need maximum compatibility, Oobabooga is the universal loader.
Built-in LoRA training
Oobabooga has a Training tab for LoRA fine-tuning. Upload a dataset (JSON or text), configure rank, alpha, and learning rate, click train. For fine-tuning a 7B model on 100 examples, training takes 30 minutes on a 3090. The LoRA adapter is saved as a separate file (10-50MB) that you can load/unload without modifying the base model. This is the easiest way to experiment with fine-tuning without installing Axolotl or Unsloth.
Extensions: RAG, multimodal, voice
The extensions system adds: superbooga (RAG with ChromaDB), multimodal (image input for vision models), whisper_stt (speech-to-text), coqui_tts (text-to-speech), and gallery (browse generation history). Installing an extension is checking a box in the UI. The extensions vary in quality: superbooga (RAG) works well, multimodal is hit-or-miss depending on the model, voice requires additional dependencies.
The UI is ugly but functional
Oobabooga's UI is pure Gradio with default styling. It looks like a research prototype, not a product. Compared to LM Studio's polished UI or Open WebUI's ChatGPT clone, Oobabooga feels dated. But the information density is high: every parameter is visible and configurable. For power users who want control, the ugly UI is actually faster to use than pretty UIs that hide settings behind menus.
Oobabooga vs Ollama vs LM Studio
Oobabooga: supports all model formats, LoRA training, most features. Best for power users and experimenters. Ollama: simplest, CLI-first, API server. Best for developers integrating LLMs into applications. LM Studio: best UI, model browser, one-click setup. Best for non-developers and quick chat.
