Qwopus3.5 27B V3 HLWQ V7 GPTQ by caiovicentino1

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Qwopus3.5 27B V3 HLWQ V7 GPTQ is an open-source language model by caiovicentino1. Features: 27b LLM, VRAM: 19.2GB, License: apache-2.0, Quantized.

  Arxiv:2502.02617   Arxiv:2603.29078   4-bit Base model:jackrong/qwopus3.5-... Base model:quantized:jackrong/...   Conversational   Gptq   Hlwq   Int4   Marlin   Model-index   Polarquant   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   Vllm

Qwopus3.5 27B V3 HLWQ V7 GPTQ Parameters and Internals

LLM NameQwopus3.5 27B V3 HLWQ V7 GPTQ
Repository 🤗https://huggingface.co/caiovicentino1/Qwopus3.5-27B-v3-HLWQ-v7-GPTQ 
Model Nameunsloth/Qwen3.5-27B
Base Model(s)  Jackrong/Qwopus3.5-27B-v3   Jackrong/Qwopus3.5-27B-v3
Model Size27b
Required VRAM19.2 GB
Updated2026-04-16
Maintainercaiovicentino1
Model Typeqwen3_5
Model Files  3.5 GB: 1-of-5   4.3 GB: 2-of-5   4.3 GB: 3-of-5   4.3 GB: 4-of-5   2.8 GB: 5-of-5
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.5.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|vision_pad|>
Errorsreplace

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Qwen3.5 27B 4bit DWQ0K / 15.2 GB5535
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Qwen3.5 27B0K / 54.7 GB3908313
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Qwopus3.5 27B V30K / 54.7 GB1349
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...e 4.6 Opus Reasoning Distilled0K / 55.2 GB850
Note: green Score (e.g. "73.2") means that the model is better than caiovicentino1/Qwopus3.5-27B-v3-HLWQ-v7-GPTQ.

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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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Release v20260328a