# Model Documentation Evaluation Template # Metadata model_name: "C4AI Command A Plus 05 2026" model_link: "https://huggingface.co/CohereLabs/command-a-plus-05-2026-bf16" organization: "Cohere" org_link: "https://cohere.com/" evaluation_date: "" public_summary_link: "https://fdr-prod-docs-files-public.s3.us-east-1.amazonaws.com/cohere.docs.buildwithfern.com/22457734c44f1c4e417d5ff1230a3abf76a892d36d3c2b93f06902199d977ed7/assets/documents/eu-ai-public-summary_command-a-plus_2607031.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6KXJSKKNFOCF7G4B%2F20260801%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260801T055012Z&X-Amz-Expires=604800&X-Amz-Signature=b50396f95290db78a1864dee119a641460a7ee752cc7beca91567c3d7f242620&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject" public_summary_date: "2026-07-31" public_summary_location: "https://docs.cohere.com/docs/command-a-plus" model_publication_date: "" category: "New model" # New model, fine-tuned model archive_file_name: "Command_A_Plus_2026_08_03.pdf" # Requirement assessments # Each requirement should be assessed once with a score from 0-10 # Leave blank for N/A, and assign a max score of 0 S1: # Document-level requirements D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S2: # General information D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S3: # Public datasets D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S4: # Private datasets D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S5: # Scraped/crawled data D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S6: # User data D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S7: # Synthetic & other D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" S8: # Data processing D1: # Clarity score: max_score: notes: "" D2: # Completeness score: max_score: notes: "" D3: # Consistency score: max_score: notes: "" D4: # Correctness score: max_score: notes: "" D5: # Accessibility score: max_score: notes: "" D6: # Comprehension score: max_score: notes: "" general_notes: ""