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Functionary Medium V3.0 by meetkai

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  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-medium-v3.0 

Functionary Medium V3.0 Benchmarks

LLME Score: 0.19878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Functionary Medium V3.0 (meetkai/functionary-medium-v3.0)

Functionary Medium V3.0 Parameters and Internals

Model Type 
language model, multimodal interpretation, function execution
Additional Notes 
Functionary can interpret and execute functions/plugins. It determines when to execute functions, either in parallel or serially, and understands their outputs. Function definitions are given as JSON Schema Objects, similar to OpenAI GPT function calls.
LLM NameFunctionary Medium V3.0
Repository 🤗https://huggingface.co/meetkai/functionary-medium-v3.0 
Required VRAM2.1 GB
Updated2025-01-24
Maintainermeetkai
Model Typellama
Model Files  4.6 GB   4.7 GB   5.0 GB   5.0 GB   4.7 GB   4.7 GB   4.7 GB   5.0 GB   5.0 GB   4.7 GB   4.7 GB   4.7 GB   5.0 GB   5.0 GB   4.7 GB   4.7 GB   4.7 GB   5.0 GB   5.0 GB   4.7 GB   4.7 GB   4.7 GB   5.0 GB   5.0 GB   4.7 GB   4.7 GB   4.7 GB   5.0 GB   5.0 GB   2.1 GB
Model ArchitectureLlamaForCausalLM|FunctionaryForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Rank the Functionary Medium V3.0 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
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