Mermaid Llama 6.7B RAG by TroyDoesAI

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Mermaid Llama 6.7B RAG Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mermaid Llama 6.7B RAG (TroyDoesAI/Mermaid-Llama-6.7B-RAG)

Mermaid Llama 6.7B RAG Parameters and Internals

Model Type 
code understanding, storytelling
Use Cases 
Applications:
Retrieval-Augmented Generation (RAG), Code Documentation, Storyboarding, Project Planning, Learning Python, Game Design
Limitations:
Limited context length of 4096
Additional Notes 
This model should be treated as an Auto-Complete Model, Do not try talking to it in chat as conversational capabilities have been pruned.
Training Details 
Methodology:
LoRA
Context Length:
4096
LLM NameMermaid Llama 6.7B RAG
Repository 🤗https://huggingface.co/TroyDoesAI/Mermaid-Llama-6.7B-RAG 
Model Size6.7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerTroyDoesAI
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32023
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TroyDoesAI/Mermaid-Llama-6.7B-RAG.

Rank the Mermaid Llama 6.7B RAG 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 v20241227