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Qwen3.8 27B W4A16 AutoRound by Vishva007

By Vishva007 · 1204 downloads

Qwen3.8 27B W4A16 AutoRound is an open-source language model by Vishva007. Features: 27b LLM, VRAM: 19.2GB, License: apache-2.0, LLM Explorer Score: 0.34.

  4-bit   4bit   Auto-round Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.8-27b   Conversational   Gptq   Image-text-to-text   Quantization   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   Vlm

Qwen3.8 27B W4A16 AutoRound Parameters and Internals

LLM NameQwen3.8 27B W4A16 AutoRound
Repository πŸ€—https://huggingface.co/Vishva007/Qwen3.8-27B-W4A16-AutoRound 
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM19.2 GB
Updated2026-08-16
MaintainerVishva007
Model Typeqwen3_5
Model Files  2.5 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   1.7 GB: 5-of-5   0.8 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.15.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Vishva007/Qwen3.8-27B-W4A16-AutoRound.