PrimeIntellect

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INTELLECT-3

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Prime Intellect 520

This PR adds machine-readable evaluation metadata to the model card using the model-index format.

What This Adds

Structured YAML metadata for 7 benchmark(s) from the README:

• MATH-500: 98.1
• AIME24: 90.8
• AIME25: 88.0
• LCB: 69.3
• GPQA: 74.4
• HLE: 14.6
• MMLU-Pro: 81.9

Why This Helps

Adding structured benchmark metadata enables:

1. Automatic Leaderboard Inclusion - Model appears on Hugging Face leaderboards and Papers with Code
2. Better Discoverability - Users can search/filter models by benchmark scores
3. Machine-Readable Data - Tools and APIs can query model performance programmatically

What Doesn't Change

• ✅ Existing README content stays the same
• ✅ Markdown benchmark tables remain unchanged
• ✅ Only adds metadata to the YAML frontmatter

Thank you for open-sourcing INTELLECT-3! This contribution helps the community compare and discover your work.