# Model Documentation Evaluation Template # Metadata model_name: "Ministral 3 14B" model_link: "https://legal.mistral.ai/ai-governance/models/ministral-3-14b" organization: "Mistral AI" org_link: "https://mistral.ai/" evaluation_date: "" public_summary_link: "https://legal.cms.mistral.ai/assets/36afc281-be9c-4cd0-9763-81cc19540895" public_summary_date: "2026-07-31" public_summary_location: "https://legal.mistral.ai/ai-governance/models/ministral-3-14b" model_publication_date: "2025-12-02" category: "New model" # New model, fine-tuned model archive_file_name: "Ministral_3_14B_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: 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 max_score: 5 notes: "" D5: # Accessibility score: 7 max_score: 10 notes: "" D6: # Comprehension score: 6 max_score: 9 notes: "" S2: # General information D1: # Clarity score: 28 max_score: 45 notes: "" D2: # Completeness score: 54 max_score: 77 notes: "" D3: # Consistency score: 8 max_score: 8 notes: "" D4: # Correctness score: 26 max_score: 27 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 10 max_score: 11 notes: "" S3: # Public datasets D1: # Clarity score: 32 max_score: 92 notes: "" D2: # Completeness score: 52 max_score: 140 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 20 max_score: 20 notes: "" D5: # Accessibility score: 0 max_score: 20 notes: "" D6: # Comprehension score: 16 max_score: 16 notes: "" S4: # Private datasets D1: # Clarity score: 32 max_score: 32 notes: "" D2: # Completeness score: 40 max_score: 88 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 24 max_score: 24 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 16 max_score: 16 notes: "" S5: # Scraped/crawled data D1: # Clarity score: 53.5 max_score: 114 notes: "" D2: # Completeness score: 49 max_score: 158 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 53 max_score: 93 notes: "" D5: # Accessibility score: 0 max_score: 25 notes: "" D6: # Comprehension score: 33 max_score: 58 notes: "" S6: # User data D1: # Clarity score: 0 max_score: 15 notes: "" D2: # Completeness score: 26 max_score: 26 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 11 max_score: 11 notes: "" D5: # Accessibility score: 15 max_score: 15 notes: "" D6: # Comprehension score: 0 max_score: 15 notes: "" S7: # Synthetic & other D1: # Clarity score: 24 max_score: 48 notes: "" D2: # Completeness score: 6 max_score: 30 notes: "" D3: # Consistency score: 6 max_score: 6 notes: "" D4: # Correctness score: 30 max_score: 30 notes: "" D5: # Accessibility score: 0 max_score: 0 notes: "" D6: # Comprehension score: 0 max_score: 12 notes: "" S8: # Data processing D1: # Clarity score: 18 max_score: 18 notes: "" D2: # Completeness score: 18 max_score: 18 notes: "" D3: # Consistency score: 3 max_score: 3 notes: "" D4: # Correctness score: 36 max_score: 36 notes: "" D5: # Accessibility score: 15 max_score: 15 notes: "" D6: # Comprehension score: 51 max_score: 69 notes: "" general_notes: ""