wehub-resource-sync
65 lines
1.6 KiB
TOML
65 lines
1.6 KiB
TOML
name = "North Mini Code"
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description = "Cohere coding model for practical software engineering and agentic edits"
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family = "north"
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release_date = "2026-06-09"
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last_updated = "2026-06-09"
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attachment = false
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reasoning = true
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temperature = true
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structured_output = true
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knowledge = "2025-09-23"
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tool_call = true
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open_weights = true
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[limit]
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context = 256_000
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output = 64_000
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[modalities]
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input = ["text"]
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output = ["text"]
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[[benchmarks]]
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name = "SWE-Bench Verified"
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score = 67.6
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metric = "resolved"
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harness = "SWE-agent"
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source = "https://huggingface.co/CohereLabs/North-Mini-Code-1.0"
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date = "2026-06-09"
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[[benchmarks]]
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name = "SWE-Bench Pro"
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score = 40.2
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metric = "resolve rate"
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harness = "SWE-agent"
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source = "https://huggingface.co/CohereLabs/North-Mini-Code-1.0"
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date = "2026-06-09"
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[[benchmarks]]
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name = "Artificial Analysis Intelligence Index"
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score = 27.6
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metric = "index score"
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source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
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date = "2026-06-09"
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[[benchmarks]]
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name = "Artificial Analysis Coding Index"
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score = 33.4
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metric = "index score"
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source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
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date = "2026-06-09"
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[[benchmarks]]
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name = "GDPval-AA"
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score = 14
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metric = "win rate"
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source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
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date = "2026-06-09"
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[[benchmarks]]
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name = "τ²-Bench Telecom"
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score = 37
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metric = "success rate"
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source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
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date = "2026-06-09"
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