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MermaidLlama by TroyDoesAI

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MermaidLlama is an open-source language model by TroyDoesAI. Features: 8.4b LLM, VRAM: 16.8GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

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

MermaidLlama Benchmarks

LLME Score: 0.1145
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MermaidLlama (TroyDoesAI/MermaidLlama)
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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 🤗https://huggingface.co/TroyDoesAI/MermaidLlama 
Model Size8.4b
Required VRAM16.8 GB
Updated2026-03-30
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

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Rank the MermaidLlama Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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