LLM EXPLORER 59,420 MODELS INDEXED

Qwen3.8 Queen 27B W4A16 AWQ by TheUnderscore

By TheUnderscore · 30 downloads

Qwen3.8 Queen 27B W4A16 AWQ is an open-source language model by TheUnderscore. Features: 27b LLM, VRAM: 18.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  Awq Base model:aifeifei798/qwen3.8... Base model:quantized:aifeifei7...   Compressed-tensors   Conversational   Endpoints compatible   Image-text-to-text   Int4   Lmdeploy   Quantized   Qwen   Qwen3.5   Qwen3.8   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   W4a16

Qwen3.8 Queen 27B W4A16 AWQ Parameters and Internals

LLM NameQwen3.8 Queen 27B W4A16 AWQ
Repository πŸ€—https://huggingface.co/TheUnderscore/Qwen3.8-Queen-27B-W4A16-AWQ 
Base Model(s)  aifeifei798/Qwen3.8-Queen-27B   aifeifei798/Qwen3.8-Queen-27B
Model Size27b
Required VRAM18.8 GB
Updated2026-08-24
MaintainerTheUnderscore
Model Typeqwen3_5
Model Files  3.5 GB: 1-of-7   2.2 GB: 2-of-7   2.2 GB: 3-of-7   2.2 GB: 4-of-7   2.2 GB: 5-of-7   2.2 GB: 6-of-7   4.3 GB: 7-of-7   0.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.8.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TheUnderscore/Qwen3.8-Queen-27B-W4A16-AWQ.