Key Features

• 2x faster training with 70% less VRAM via custom Triton and mathematical kernels — no accuracy loss
• LoRA, QLoRA, and full fine-tuning at 4-bit, 16-bit, and FP8 precision
• GRPO reinforcement learning support with 80% less VRAM than standard implementations
• 500K context window fine-tuning for long-document and multi-turn conversation specialization
• Supports 500+ models: Llama 4, Qwen 3.5, DeepSeek, Gemma 4, Mistral, Phi-4, gpt-oss
• Unsloth Studio web UI for self-hosted inference with GGUF, LoRA, and safetensors formats
• Visual dataset recipe editor that ingests PDFs, CSVs, and DOCX files
• Multi-GPU training support and free Colab notebooks for getting started