Unsloth vs Axolotl vs TRL vs LLaMA-Factory: A Fine-Tuning Framework Comparison on Speed, VRAM, and Multi-GPU

MarkTechPost · 1 month ago · 31

Four open source LLM fine-tuning frameworks—Unsloth, Axolotl, TRL, and LLaMA-Factory—dominate the landscape, each optimizing different aspects: Unsloth rewrites kernels with Triton for speed, Axolotl composes parallelism strategies, TRL provides the underlying trainer APIs, and LLaMA-Factory focuses on model coverage with a web UI. The comparison evaluates these frameworks on training throughput, peak VRAM usage, and multi-GPU scaling performance. Engineers can now choose based on whether they prioritize kernel-level optimization, parallelism composition, trainer flexibility, or breadth of model support.