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Functionary Medium V2.2 by meetkai

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  Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-medium-v2.2 

Functionary Medium V2.2 Benchmarks

LLME Score: 0.17012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Functionary Medium V2.2 (meetkai/functionary-medium-v2.2)

Functionary Medium V2.2 Parameters and Internals

Model Type 
function execution
Additional Notes 
Truly one of the best open-source alternatives to GPT-4
Input Output 
Input Format:
JSON Schema Objects for function definitions
Accepted Modalities:
text
Output Format:
Formatted responses depending on function execution
LLM NameFunctionary Medium V2.2
Repository 🤗https://huggingface.co/meetkai/functionary-medium-v2.2 
Model Size46.7b
Required VRAM93.6 GB
Updated2024-12-22
Maintainermeetkai
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19   0.0 GB
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32004
Torch Data Typebfloat16

Best Alternatives to Functionary Medium V2.2

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Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB306521219
GritLM 8x7B KTO32K / 93.6 GB36493
Smaug Mixtral V0.132K / 187.7 GB367312
...enbuddy Mixtral 7bx8 V18.1 32K32K / 93.7 GB110414
Merge Mixtral Prometheus 8x7B32K / 91.9 GB182
Sensualize Mixtral Bf1632K / 93.6 GB00
XLAM 8x7b R32K / 93.6 GB95411
Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-medium-v2.2.

Rank the Functionary Medium V2.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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