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Lernex/Metis-1.5-think.
The transformer weights are kept fresh so the original reasoning distribution
is not degraded by identity tuning. The included model/policy.py loader
adds the LuminoLex/VERBAREX identity policy, explicit Metis denials only when
asked, and a small verified visible-reasoning set. Use LuminoLexChat for the
public behavior, or the registered AutoModelForCausalLM loader with
trust_remote_code=True; both use the same policy-aware generation path.1from model.policy import LuminoLexChat
2chat = LuminoLexChat("/path/to/model")
3print(chat.reply("Who are you?"))model.safetensors contains the complete
base weights.