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Model: TroyDoesAI/MermaidStable3B Source: Original Platform
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README.md
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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- FlowChat
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- Mermaid
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- Diagram
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- LLM
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- Skill:FlowChartGeneration
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- Visualize
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- Visualizer
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- Flow
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- diagram
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- flowchart
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---
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# MermaidStable3B: A Compact Powerhouse for Flow Chart Innovation
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Introducing MermaidStable3B, a compact yet remarkably capable language model that's transforming the landscape of flow chart creation. This model is a testament to the fact that extraordinary capability can come in smaller packages. It's not just about the size; it's about the efficiency and precision in execution, making MermaidStable3B a game-changer in the realm of diagrammatic representations.
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Model Essentials:
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MermaidStable3B is rooted in the stable-code-3b architecture, encompassing a robust framework with 2.7 billion parameters. Developed from the expertise of Stability AI, this model is fine-tuned to excel in various programming contexts and textual interpretations, serving as a versatile foundation for MermaidStable3B’s unique capabilities.
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Core Features:
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Enhanced Code Comprehension:
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- Specializes in translating code complexities into intuitive Mermaid Diagram Flow Charts.
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- An invaluable tool for developers in visualizing and understanding intricate code structures.
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Narrative to Diagram Conversion:
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- Effortlessly transforms narrative inputs into engaging and structured Mermaid Diagrams.
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- Ideal for visualizing character dynamics, plot trajectories, and thematic elements in stories.
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Performance Excellence:
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- Demonstrates superior efficiency and output quality, challenging the norms of larger models.
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- Delivers detailed, organized Mermaid Diagrams for varied storylines and code sequences.
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Training and Adaptability:
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- Diverse training background, enabling unique story-to-flow chart translations.
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- Showcases exceptional performance in resource-limited settings, embodying innovation under constraints.
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Collaborative Potential:
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MermaidStable3B is open for collaboration and enhancement. With a foundation in the Alpaca-formatted dataset, it offers a nuanced understanding of Python. Interested collaborators are encouraged to reach out to TroyDoesAI@gmail.com
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Diverse Applications:
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For Code Documentation:
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- Aids developers in auto-generating visual flow charts from code, simplifying documentation and comprehension.
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For Storyboarding:
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- Writers and storytellers can input narratives to receive structured Mermaid Diagrams, offering a clear view of plot and character interplay.
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In Project Management:
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- Project planners can employ MermaidStable3B for creating detailed project flow maps, enhancing team communication and project visualization.
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Educational Tool for Python Learning:
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- Aids students and beginners in visually grasping Python code structures, enriching the educational journey.
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In Game Design:
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- Game designers can utilize the model to map out game narratives and mechanics, bringing clarity to complex design processes.
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---
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MermaidStable3B represents the spirit of creating innovative, high-quality visual tools, making complex concepts accessible and engaging.
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MermaidStable3B is not just a tool; it's a bridge between technical complexity and visual simplicity, aligning perfectly with the needs of those seeking to blend detailed analysis with clear, visual storytelling.
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**Proof of Concept:**
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MermaidStable3B reaffirms that innovation thrives in compact packages, delivering exceptional performance across diverse applications.
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Stay tuned for the release of the VSCode Extension that displays the Live Flow Map every time a user stops typing for more than 10 seconds.
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For best results Use Alpaca Instruct Format, use full precision with one of the three different instruction types:
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- "instruction": "Create the mermaid diagram for the following code:"
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- "instruction": "Create the mermaid diagram for the following story:"
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- "instruction": "Create the mermaid diagram for the following:"
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Also
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It helps to have ### Response:
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start with ```mermaid followed by a new line.
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This pushes the model to respond with a mermaid diagram on the next line.
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