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Functionary 7B V2.1 by meetkai

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-7b-v2.1 

Functionary 7B V2.1 Benchmarks

LLME Score: 0.16309
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Functionary 7B V2.1 (meetkai/functionary-7b-v2.1)

Functionary 7B V2.1 Parameters and Internals

Model Type 
language model, function execution
LLM NameFunctionary 7B V2.1
Repository 🤗https://huggingface.co/meetkai/functionary-7b-v2.1 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-21
Maintainermeetkai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32004
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-7b-v2.1.

Rank the Functionary 7B V2.1 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 v20241217
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