PaperAgent

Feb 7, 2026 · Artificial Intelligence

Can 13 Parameters Match Full‑Scale Fine‑Tuning? TinyLoRA’s RL Breakthrough

TinyLoRA, a Meta‑proposed method that fine‑tunes Qwen2.5‑7B with only 13 trainable parameters (26 bytes), achieves 91% accuracy on GSM8K under reinforcement learning, revealing that ultra‑low‑parameter RL can rival full‑scale supervised fine‑tuning.