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Qwen3 30B A3B GPTQ Int4 by Qwen

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Qwen3 30B A3B GPTQ Int4 is an open-source language model by Qwen. Features: 30b LLM, VRAM: 16.9GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  Arxiv:2309.00071   Arxiv:2505.09388   4-bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-30b-a3b   Conversational   Endpoints compatible   Gptq   Quantized   Qwen3 moe   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-30B-A3B-GPTQ-Int4 

Qwen3 30B A3B GPTQ Int4 Benchmarks

LLME Score: 0.29713
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30B A3B GPTQ Int4 (Qwen/Qwen3-30B-A3B-GPTQ-Int4)
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Qwen3 30B A3B GPTQ Int4 Parameters and Internals

LLM NameQwen3 30B A3B GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen3-30B-A3B-GPTQ-Int4 
Base Model(s)  Qwen3 30B A3B   Qwen/Qwen3-30B-A3B
Model Size30b
Required VRAM16.9 GB
Updated2026-04-20
MaintainerQwen
Model Typeqwen3_moe
Model Files  16.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Rank the Qwen3 30B A3B 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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