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Functionary Medium V2.4 AWQ by meetkai

By meetkai · 5 downloads

Functionary Medium V2.4 AWQ is an open-source language model by meetkai. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq   Conversational   Endpoints compatible   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Functionary Medium V2.4 AWQ Parameters and Internals

LLM NameFunctionary Medium V2.4 AWQ
Repository πŸ€—https://huggingface.co/meetkai/functionary-medium-v2.4-AWQ 
Model Size46.7b
Required VRAM24.7 GB
Updated2026-08-01
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.