Qwen Qwen1.5 32B 4 Bit Gptq by SotiriosKastanas

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Qwen Qwen1.5 32B 4 Bit Gptq is an open-source language model by SotiriosKastanas. Features: 32b LLM, VRAM: 19.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen Qwen1.5 32B 4 Bit Gptq Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen Qwen1.5 32B 4 Bit Gptq Parameters and Internals

LLM NameQwen Qwen1.5 32B 4 Bit Gptq
Repository 🤗https://huggingface.co/SotiriosKastanas/Qwen-Qwen1.5-32B-4-bit-gptq 
Model Size32b
Required VRAM19.2 GB
Updated2025-09-28
MaintainerSotiriosKastanas
Model Typeqwen2
Model Files  10.0 GB: 1-of-2   9.2 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen1.5 32B Chat GPTQ Int432K / 19.5 GB341231
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...k R1 Distill Qwen 32B Bnb 4bit128K / 19.2 GB807129
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Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/Qwen-Qwen1.5-32B-4-bit-gptq.

Rank the Qwen Qwen1.5 32B 4 Bit Gptq 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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Release v20260328a