anomalyco--models.dev
wehub-resource-sync
84 行
1.7 KiB
TOML
84 行
1.7 KiB
TOML
name = "Fugu"
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description = "Multi-agent model for routing expert agents across complex analytical tasks"
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family = "fugu"
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release_date = "2026-06-15"
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last_updated = "2026-06-15"
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attachment = true
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reasoning = true
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temperature = false
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tool_call = true
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structured_output = true
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open_weights = false
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[limit]
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context = 1_000_000
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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[[links]]
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label = "Official model catalog"
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url = "https://raw.githubusercontent.com/SakanaAI/fugu/refs/heads/main/configs/files/fugu.json"
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type = "docs"
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[[benchmarks]]
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name = "SWE Bench Pro"
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score = 59.0
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "Terminal Bench 2.1"
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score = 80.2
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "LiveCodeBench"
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score = 92.9
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "LiveCodeBench Pro"
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score = 87.8
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "Humanity’s Last Exam"
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score = 47.2
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "CharXiv Reasoning"
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score = 85.1
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "GPQA Diamond"
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score = 95.5
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "SciCode"
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score = 60.1
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "τ3 Banking"
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score = 21.7
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "Long Context Reasoning"
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score = 74.7
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "MRCRv2"
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score = 86.6
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source = "https://console.sakana.ai/models"
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[[benchmarks]]
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name = "CTI-REALM"
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score = 67.5
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source = "https://console.sakana.ai/models"
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