Fred-42B

Fred-42B is a Mermaid diagram-focused fine-tune built on top of DavidAU/Qwen3-42B-A3B-Grande-Claude-4.5-Opus-High-Reasoning-2507, trained primarily for generating accurate, well-structured diagrams in academic and STEM contexts.

Intended Use

Fred-42B was developed to assist students and professionals in producing Mermaid-syntax diagrams, with a particular focus on Entity-Relationship (ER) diagrams for database design, as well as flowcharts, sequence diagrams, and class diagrams commonly used in computer science and informatics coursework.

The model is designed to integrate naturally into note-taking and knowledge management workflows, including tools like Obsidian via its native Mermaid rendering support. This makes it well-suited as an in-context diagram assistant for STEM-related academic tasks.

Training Data

The model was fine-tuned on two datasets:

• TeichAI/claude-4.5-opus-high-reasoning-250x: High-reasoning instruction data used to reinforce structured analytical output.
• TendieLabs/Tender_Mermaid_Training_V1: Mermaid diagram-specific training examples covering a range of diagram types and complexity levels.

Capabilities

• ER diagram generation from natural language descriptions or schema definitions
• General Mermaid diagram generation (flowcharts, sequence, class, and state diagrams)
• STEM academic task assistance with structured, diagram-augmented responses
• Obsidian-compatible output formatting

Limitations

Fred-42B is optimized for diagram generation tasks and may underperform on general-purpose reasoning tasks relative to the base model. Output quality is best when prompts include clear schema definitions, entity lists, or explicit diagram type requests.