Qwen2.5 3B Instruct GPTQ Int4 by Qwen

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Qwen2.5 3B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 3b LLM, VRAM: 2.1GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2407.10671   4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-3b-ins...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors

Qwen2.5 3B Instruct GPTQ Int4 Benchmarks

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

Qwen2.5 3B Instruct GPTQ Int4 Parameters and Internals

LLM NameQwen2.5 3B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM2.1 GB
Updated2026-07-10
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  2.1 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 3B Instruct GPTQ Int832K / 3.5 GB2743
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...egal Chatbot Qwen3b Sft Merged32K / 6.2 GB720
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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4.

Rank the Qwen2.5 3B Instruct 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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Release v20260328a