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Multi-turn conversation with equilibrium language models. Tune solver budget, temperature, and top-k for flexible generation.

Model:

Loading models...

System Prompt:

Max Tokens (≤64):

Solver Budget (6):

Higher budget = more equilibrium solver iterations per token

Temperature (0.80):

0 = deterministic; 0.8 recommended

Top-k (50):

Restrict sampling to top-k most likely tokens

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EqLM is a research platform for equilibrium learning dynamics, quantal response equilibria and mechanism design verification. The programme closed on 2026-09-02 at finding F55; every result shown is pre-recorded and traced to its configuration hash.

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