IOL-AI-v3 / README.md
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IOL-AI 2026 submission — ShayanShamsi

Self-provisioning script competition entry:

  • script.py: env diagnostics + orchestrator (writes valid submission.csv from second 0, incremental thereafter)
  • wheels/: offline pip bundle (vllm 0.8.5.post1 + torch 2.6 + transformers 4.51.3)
  • awq14b/: Qwen3-14B-AWQ (Apache-2.0) — primary model via vLLM V0 in-process
  • q4b/: Qwen3-4B (Apache-2.0) — transformers fallback
  • pipeline: no-think floor -> adaptive-budget thinking (budget-forced close) -> weak-row re-solve -> weighted vote
  • Answers are computed at run time from /tmp/data/test.csv only.