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Qwen2 57B A14B Instruct GPTQ Int4 by Qwen

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Qwen2 57B A14B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 57b LLM, VRAM: 31.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2-57b-a14b...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct-GPTQ-Int4 

Qwen2 57B A14B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.14232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 57B A14B Instruct GPTQ Int4 (Qwen/Qwen2-57B-A14B-Instruct-GPTQ-Int4)
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Qwen2 57B A14B Instruct GPTQ Int4 Parameters and Internals

Model Type 
decoder, chat, instruction-tuned
Additional Notes 
vLLM does not support the GPTQ version of Qwen2MoeForCausalLM currently. Model comparison and inference speed benchmarks available in documentation.
Supported Languages 
en (high)
Training Details 
Methodology:
Pretrained with a large amount of data and post-trained using supervised finetuning and direct preference optimization.
Context Length:
65536
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention
LLM NameQwen2 57B A14B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen2 57B A14B Instruct   Qwen/Qwen2-57B-A14B-Instruct
Model Size57b
Required VRAM31.6 GB
Updated2026-04-09
MaintainerQwen
Model Typeqwen2_moe
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   5.0 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   1.6 GB: 7-of-7
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2MoeForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
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/Qwen2-57B-A14B-Instruct-GPTQ-Int4.

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Instruction Following and Task Automation  
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