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Functionary Medium V2.4 AWQ by meetkai

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meetkai/functionary-medium-v2.4-AWQ 

Functionary Medium V2.4 AWQ Benchmarks

LLME Score: 0.17531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Functionary Medium V2.4 AWQ (meetkai/functionary-medium-v2.4-AWQ)

Functionary Medium V2.4 AWQ Parameters and Internals

LLM NameFunctionary Medium V2.4 AWQ
Repository 🤗https://huggingface.co/meetkai/functionary-medium-v2.4-AWQ 
Model Size6.5b
Required VRAM24.7 GB
Updated2025-03-13
Maintainermeetkai
Model Typemixtral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.7 GB: 5-of-5
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32004
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than meetkai/functionary-medium-v2.4-AWQ.

Rank the Functionary Medium V2.4 AWQ 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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