MermaidLlama by TroyDoesAI

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/TroyDoesAI/MermaidLlama 

MermaidLlama Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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MermaidLlama Parameters and Internals

Model Type 
language model, code understanding, storytelling
Use Cases 
Areas:
code documentation, storyboarding, project planning, learning Python, game design
Additional Notes 
MermaidLLama is designed for Python code understanding and storytelling via Mermaid Diagrams, showcasing capabilities in creating visual representations that surpass larger models like GPT-4. The model also supports collaboration for enhancement of its abilities through community involvement.
Training Details 
Data Sources:
Alpaca-formatted dataset, 478 Python examples
Context Length:
4096
LLM NameMermaidLlama
Repository ๐Ÿค—https://huggingface.co/TroyDoesAI/MermaidLlama 
Model Size8.4b
Required VRAM16.8 GB
Updated2025-06-09
MaintainerTroyDoesAI
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.9 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
MermaidLlama (TroyDoesAI/MermaidLlama)

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Rank the MermaidLlama Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124