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Qwen2.5 32B Instruct GPTQ Int4 by Qwen

By Qwen · 478520 downloads
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Qwen2.5 32B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 32b LLM, VRAM: 19.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

  Arxiv:2309.00071   Arxiv:2407.10671   4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-32b-in...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4 

Qwen2.5 32B Instruct GPTQ Int4 Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
English (Proficient), Chinese (Proficient), French (Proficient), Spanish (Proficient), Portuguese (Proficient), German (Proficient), Italian (Proficient), Russian (Proficient), Japanese (Proficient), Korean (Proficient), Vietnamese (Proficient), Thai (Proficient), Arabic (Proficient)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Add `rope_scaling` configuration only when processing long contexts.
LLM NameQwen2.5 32B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM19.5 GB
Updated2026-08-03
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   4.0 GB: 4-of-5   3.5 GB: 5-of-5
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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