# Model Documentation Evaluation Template # Metadata model_name: "Apertus v1.5" model_link: "https://huggingface.co/swiss-ai/Apertus-v1.5-70B/tree/main" organization: "Swiss AI Initiative" org_link: "https://www.swiss-ai.org/" evaluation_date: "2026-08-05" public_summary_link: "https://huggingface.co/swiss-ai/Apertus-v1.5-70B/blob/main/Apertus_1_5_EU_Public_Summary.pdf" public_summary_date: "2026-07-17" public_summary_location: "https://huggingface.co/swiss-ai/Apertus-v1.5-70B" model_publication_date: "2026-07-14" category: "New model" # New model, fine-tuned model archive_file_name: "Apertus_1_5_2026_08_05.pdf" previous_versions: # 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: 9 max_score: 11 notes: "" D2: # Completeness score: 4 max_score: 4 notes: "" D3: # Consistency score: 7 max_score: 7 notes: "" D4: # Correctness score: 3.5 max_score: 5 notes: "" D5: # Accessibility score: 10 max_score: 10 notes: "" D6: # Comprehension score: 6 max_score: 9 notes: "" S2: # General information D1: # Clarity score: 20 max_score: 42 notes: "" D2: # Completeness score: 51 max_score: 62 notes: "" D3: # Consistency score: 8 max_score: 8 notes: "" D4: # Correctness score: 21 max_score: 21 notes: "" D5: # Accessibility score: 5 max_score: 5 notes: "" D6: # Comprehension score: 10 max_score: 11 notes: "" S3: # Public datasets D1: # Clarity score: 92 max_score: 92 notes: "" D2: # Completeness score: 95 max_score: 95 notes: "" D3: # Consistency score: 23 max_score: 23 notes: "" D4: # Correctness score: 23 max_score: 23 notes: "" D5: # Accessibility score: 20 max_score: 20 notes: "" D6: # Comprehension score: 19 max_score: 19 notes: "" S4: # Private datasets D1: # Clarity score: 0 max_score: 0 notes: "" D2: # Completeness score: 2 max_score: 2 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 2 max_score: 2 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 0 max_score: 0 notes: "" S5: # Scraped/crawled data D1: # Clarity score: 0 max_score: 129 notes: "" D2: # Completeness score: 3 max_score: 158 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 3 max_score: 93 notes: "" D5: # Accessibility score: 0 max_score: 25 notes: "" D6: # Comprehension score: 0 max_score: 58 notes: "" S6: # User data D1: # Clarity score: 0 max_score: 0 notes: "" D2: # Completeness score: 8 max_score: 8 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 8 max_score: 8 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 0 max_score: 0 notes: "" S7: # Synthetic & other D1: # Clarity score: 0 max_score: 0 notes: "" D2: # Completeness score: 3 max_score: 3 notes: "" D3: # Consistency score: 6 max_score: 6 notes: "" D4: # Correctness score: 3 max_score: 3 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 0 max_score: 0 notes: "" S8: # Data processing D1: # Clarity score: 24 max_score: 24 notes: "" D2: # Completeness score: 19 max_score: 19 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 37 max_score: 37 notes: "" D5: # Accessibility score: 15 max_score: 15 notes: "" D6: # Comprehension score: 51 max_score: 51 notes: "" general_notes: ""