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Qwen3 0.6B GPTQ Int8 by Qwen

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Qwen3 0.6B GPTQ Int8 is an open-source language model by Qwen. Features: 0.6b LLM, VRAM: 0.8GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

  Arxiv:2505.09388   8-bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-0.6b   Conversational   Endpoints compatible   Gptq   Quantized   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-0.6B-GPTQ-Int8 

Qwen3 0.6B GPTQ Int8 Benchmarks

LLME Score: 0.20675
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 0.6B GPTQ Int8 (Qwen/Qwen3-0.6B-GPTQ-Int8)
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Qwen3 0.6B GPTQ Int8 Parameters and Internals

LLM NameQwen3 0.6B GPTQ Int8
Repository 🤗https://huggingface.co/Qwen/Qwen3-0.6B-GPTQ-Int8 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM0.8 GB
Updated2026-04-26
MaintainerQwen
Model Typeqwen3
Model Files  0.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3ForCausalLM
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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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-0.6B-GPTQ-Int8.

Rank the Qwen3 0.6B GPTQ Int8 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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