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Qwen2.5 72B Instruct GPTQ Int8 by Qwen

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Qwen2.5 72B Instruct GPTQ Int8 is an open-source language model by Qwen. Features: 72b LLM, VRAM: 77GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

  Arxiv:2309.00071   Arxiv:2407.10671   8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-72b-in...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8 

Qwen2.5 72B Instruct GPTQ Int8 Benchmarks

LLME Score: 0.19748
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 72B Instruct GPTQ Int8 (Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8)
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Qwen2.5 72B Instruct GPTQ Int8 Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
This model is instruction-tuned, with enhancements in various areas, including long-context support and multilingual capabilities.
Supported Languages 
en (proficient), cn (proficient), fr (proficient), es (proficient), pt (proficient), de (proficient), it (proficient), ru (proficient), ja (proficient), ko (proficient), vi (proficient), th (proficient), ar (proficient)
Training Details 
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Accepted Modalities:
text
Performance Tips:
To handle extensive inputs exceeding 32,768 tokens, utilize YaRN.
LLM NameQwen2.5 72B Instruct GPTQ Int8
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM77 GB
Updated2026-04-24
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.8 GB: 1-of-20   3.9 GB: 2-of-20   3.9 GB: 3-of-20   3.9 GB: 4-of-20   3.9 GB: 5-of-20   3.9 GB: 6-of-20   3.9 GB: 7-of-20   3.9 GB: 8-of-20   3.9 GB: 9-of-20   3.9 GB: 10-of-20   3.9 GB: 11-of-20   3.9 GB: 12-of-20   3.9 GB: 13-of-20   3.9 GB: 14-of-20   3.9 GB: 15-of-20   3.9 GB: 16-of-20   3.9 GB: 17-of-20   3.9 GB: 18-of-20   3.9 GB: 19-of-20   3.0 GB: 20-of-20
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8.

Rank the Qwen2.5 72B Instruct 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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