Commonstack
@commonstack_ai
One API to access the best AI models in the world.
Faster agents, lower costs.
加入 January 2026
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New research we’re excited about: MERA powered by
Evolve small models with SkillBook + routing + adapters so they take on more of the agent workload over time, instead of always defaulting to the biggest (and most expensive) model.
Faster agents. Lower costs. Better systems.
Paper + code 👇
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🚀 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.
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