| --- |
| language: |
| - en |
| tags: |
| - model |
| - leaderboard |
| model-index: |
| - name: droplychee/DropLychee-1.2 |
| results: |
| - task: |
| type: multiple-choice |
| name: Diamond |
| dataset: |
| type: Idavidrein/gpqa |
| name: diamond |
| metrics: |
| - type: accuracy |
| value: 87.8 |
| - task: |
| type: text-generation |
| name: SkillsBench V1.1 |
| dataset: |
| type: benchflow/skillsbench |
| name: default |
| metrics: |
| - type: accuracy |
| value: 48.2 |
| - task: |
| type: multiple-choice |
| name: Mmlu Pro |
| dataset: |
| type: TIGER-Lab/MMLU-Pro |
| name: pro |
| metrics: |
| - type: accuracy |
| value: 86.2 |
| - task: |
| type: code-generation |
| name: SWE Bench Pro |
| dataset: |
| type: ScaleAI/SWE-bench_Pro |
| name: default |
| metrics: |
| - type: pass@1 |
| value: 53.5 |
| - task: |
| type: code-generation |
| name: Swe Bench Resolved |
| dataset: |
| type: SWE-bench/SWE-bench_Verified |
| name: verified |
| metrics: |
| - type: resolved |
| value: 77.2 |
| - task: |
| type: multiple-choice |
| name: Mmmu Pro Vision |
| dataset: |
| type: MMMU/MMMU_Pro |
| name: pro |
| metrics: |
| - type: accuracy |
| value: 75.8 |
| - task: |
| type: multiple-choice |
| name: MathArena Aime 2026 |
| dataset: |
| type: MathArena/aime_2026 |
| name: default |
| metrics: |
| - type: accuracy |
| value: 94.1 |
| - task: |
| type: text-generation |
| name: Terminalbench 2 |
| dataset: |
| type: harborframework/terminal-bench-2.0 |
| name: default |
| metrics: |
| - type: accuracy |
| value: 59.3 |
| - task: |
| type: text-generation |
| name: Hle |
| dataset: |
| type: cais/hle |
| name: default |
| metrics: |
| - type: accuracy |
| value: 24.0 |
| - task: |
| type: multiple-choice |
| name: MathArena Hmmt Feb 2026 |
| dataset: |
| type: MathArena/hmmt_feb_2026 |
| name: default |
| metrics: |
| - type: accuracy |
| value: 84.3 |
| --- |
