chore: import upstream snapshot with attribution

models/cohere/command-a-03-2025.toml

@@ -0,0 +1,30 @@
+name = "Command A"
+description = "Cohere command model for multilingual enterprise agents, tools, and chat"
+family = "command-a"
+release_date = "2025-03-13"
+last_updated = "2025-03-13"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-06-01"
+open_weights = true
+
+[limit]
+context = 256_000
+output = 8_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/CohereLabs/c4ai-command-a-03-2025"
+
+[[benchmarks]]
+name = "Aider Polyglot"
+score = 12.0
+metric = "percent correct"
+source = "https://aider.chat/docs/leaderboards/"
+date = "2025-03-14"

models/cohere/command-a-plus-05-2026.toml

@@ -0,0 +1,20 @@
+name = "Command A Plus"
+description = "Cohere's stronger command model for multilingual agents and enterprise workflows"
+family = "command-a"
+release_date = "2026-05-20"
+last_updated = "2026-06-09"
+attachment = true
+reasoning = true
+temperature = true
+knowledge = "2025-04-01"
+tool_call = true
+open_weights = true
+structured_output = true
+
+[limit]
+context = 128_000
+output = 64_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

models/cohere/command-r-08-2024.toml

@@ -0,0 +1,23 @@
+name = "Command R"
+description = "Cohere retrieval model for long-context chat and enterprise RAG workflows"
+family = "command-r"
+release_date = "2024-08-30"
+last_updated = "2024-08-30"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-06-01"
+open_weights = true
+
+[limit]
+context = 128_000
+output = 4_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/CohereLabs/c4ai-command-r-08-2024"

models/cohere/command-r-plus-08-2024.toml

@@ -0,0 +1,23 @@
+name = "Command R+"
+description = "Cohere's RAG workhorse for long-context enterprise search and tool use"
+family = "command-r"
+release_date = "2024-08-30"
+last_updated = "2024-08-30"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-06-01"
+open_weights = true
+
+[limit]
+context = 128_000
+output = 4_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/CohereLabs/c4ai-command-r-plus-08-2024"

models/cohere/command-r7b-12-2024.toml

@@ -0,0 +1,23 @@
+name = "Command R7B"
+description = "Cohere retrieval model for long-context chat and enterprise RAG workflows"
+family = "command-r"
+release_date = "2024-12-02"
+last_updated = "2024-12-02"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-06-01"
+open_weights = true
+
+[limit]
+context = 128_000
+output = 4_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/CohereLabs/c4ai-command-r7b-12-2024"

models/cohere/north-mini-code-1-0.toml

@@ -0,0 +1,64 @@
+name = "North Mini Code"
+description = "Cohere coding model for practical software engineering and agentic edits"
+family = "north"
+release_date = "2026-06-09"
+last_updated = "2026-06-09"
+attachment = false
+reasoning = true
+temperature = true
+structured_output = true
+knowledge = "2025-09-23"
+tool_call = true
+open_weights = true
+
+[limit]
+context = 256_000
+output = 64_000
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[benchmarks]]
+name = "SWE-Bench Verified"
+score = 67.6
+metric = "resolved"
+harness = "SWE-agent"
+source = "https://huggingface.co/CohereLabs/North-Mini-Code-1.0"
+date = "2026-06-09"
+
+[[benchmarks]]
+name = "SWE-Bench Pro"
+score = 40.2
+metric = "resolve rate"
+harness = "SWE-agent"
+source = "https://huggingface.co/CohereLabs/North-Mini-Code-1.0"
+date = "2026-06-09"
+
+[[benchmarks]]
+name = "Artificial Analysis Intelligence Index"
+score = 27.6
+metric = "index score"
+source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
+date = "2026-06-09"
+
+[[benchmarks]]
+name = "Artificial Analysis Coding Index"
+score = 33.4
+metric = "index score"
+source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
+date = "2026-06-09"
+
+[[benchmarks]]
+name = "GDPval-AA"
+score = 14
+metric = "win rate"
+source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
+date = "2026-06-09"
+
+[[benchmarks]]
+name = "τ²-Bench Telecom"
+score = 37
+metric = "success rate"
+source = "https://artificialanalysis.ai/articles/north-mini-code-cohere-s-small-coding-focused-moe-model"
+date = "2026-06-09"