FLAP AI

FLAP is a local LLM fine-tuning platform that runs entirely on your own GPU. Using memory-mapped parameter sharding, FLAP trains models from 1B to 670B+ parameters on as little as 6 GB VRAM — no cloud infrastructure required. Fully Automatic

Key advantages over cloud-based alternatives: • ~95% cost reduction vs AWS/GCP/Azure GPU instances • 21.5× faster training than traditional fine-tuning • Complete data privacy — nothing leaves your machine • Supports Llama, Mistral, Qwen, Gemma, and more • Free tier: 3 training jobs per month

FLAP is the alternative to Replicate, Modal, RunPod, and Lambda Labs for developers who want to fine-tune LLMs without paying per-GPU-hour or sending proprietary data to third-party servers.

Works on Windows, macOS, and Linux with any NVIDIA GPU (6 GB+ VRAM). Web dashboard included.