Gradient(@Gradient_HQ):Proud to share MERA: joint work from a group of brilliant researchers including our very own. It evolves small models with SkillBook + routing + adapters so they take on more of the agent workload over time. Paper + code 👇

2026.08.13 02:08

Proud to share MERA: joint work from a group of brilliant researchers including our very own. It evolves small models with SkillBook + routing + adapters so they take on more of the agent workload over time. Paper + code 👇

Yuhang Yao@yuhang_yao

2026.08.12 16:58

🚀 MERA: Model Evolution and Routing with Skill Adaptation for Agentic Systems at Scale How can we make small models stronger for on-device agent deployment? MERA uses stronger models to guide an iterative loop of RL/GRPO, skill learning, and router optimization. Student failures become verified demonstrations, reusable SkillBook procedures, and LoRA updates, helping the small model take on more work over time. 🔥 Results: Qwen2.5-Coder-1.5B: 28.7% → 49.7% coding pass Qwen3.5-2B on TAU-2: 14/35 → 18/35 Fine-tuned 2B matches an unadapted 4B model Don’t just route around small models. Evolve them. 📄 💻