discover-new-models

What problem does it solve?

This Skill removes the manual effort of scouting for newly released, high-demand open-weight LLMs that are compatible with your team's GPU fleet and worth the compute investment to benchmark.

Core Features & Use Cases

• Curated Candidate Sourcing: Pulls vetted, newly released open-weight models from public OpenRouter and HuggingFace endpoints, automatically excluding models already supported by emmy.
• Demand-Aware Ranking: Ranks candidates by real-time popularity signals (HuggingFace trending score, LMArena Elo, releasing lab reputation) to prioritize models with genuine mindshare and proven quality.
• Hardware Fit Mapping: Calculates VRAM requirements for available quantizations and maps each shortlisted model to compatible GPU configurations in your fleet.
• Use Case: If your team wants to expand your emmy benchmark suite with the latest high-performance open models that run on your H200 and B200 GPUs, this Skill delivers a ready-to-use ranked shortlist pre-vetted for hardware compatibility and demand.

Quick Start

Use the discover-new-models skill to generate a ranked shortlist of new open-weight models compatible with your H100, H200, and B200 GPUs that are worth benchmarking next.