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Qwen3 32B GPTQ Int4 by JunHowie

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Qwen3 32B GPTQ Int4 is an open-source language model by JunHowie. Features: 32b LLM, VRAM: 19.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.22.

  Arxiv:2309.00071   Arxiv:2505.09388   4-bit   Autotrain compatible Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-32b   Conversational   Endpoints compatible   Gptq   Int4   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Vllm   量化修复
Model Card on HF 🤗: https://huggingface.co/JunHowie/Qwen3-32B-GPTQ-Int4 

Qwen3 32B GPTQ Int4 Benchmarks

LLME Score: 0.21809
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B GPTQ Int4 (JunHowie/Qwen3-32B-GPTQ-Int4)
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Qwen3 32B GPTQ Int4 Parameters and Internals

LLM NameQwen3 32B GPTQ Int4
Repository 🤗https://huggingface.co/JunHowie/Qwen3-32B-GPTQ-Int4 
Base Model(s)  Qwen3 32B   Qwen/Qwen3-32B
Model Size32b
Required VRAM19.4 GB
Updated2025-09-23
MaintainerJunHowie
Model Typeqwen3
Model Files  4.0 GB: 1-of-5   4.0 GB: 2-of-5   3.9 GB: 3-of-5   4.0 GB: 4-of-5   3.5 GB: 5-of-5
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2TokenizerFast
Padding Token<unk>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...line Merged 16bit Merged 16bit40K / 65.8 GB3800
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Qwen3 32B 4bit40K / 18.5 GB10654
Qwen3 32B MLX 4bit40K / 17.4 GB2986
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Qwen3 32B MLX 6bit40K / 25.5 GB644
...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB93
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB62
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB72
Note: green Score (e.g. "73.2") means that the model is better than JunHowie/Qwen3-32B-GPTQ-Int4.

Rank the Qwen3 32B GPTQ Int4 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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