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Qwen2.5 72B Instruct AWQ by Qwen

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  660557   
  Arxiv:2309.00071   Arxiv:2407.10671   4-bit   Autotrain compatible   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-72b-in...   Chat   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-AWQ 

Qwen2.5 72B Instruct AWQ Benchmarks

LLME Score: 0.37066
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 AWQ (Qwen/Qwen2.5-72B-Instruct-AWQ)

Qwen2.5 72B Instruct AWQ Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
The model is AWQ-quantized to 4-bit.
Supported Languages 
en (English), zh (Chinese), fr (French), es (Spanish), pt (Portuguese), de (German), it (Italian), ru (Russian), ja (Japanese), ko (Korean), vi (Vietnamese), th (Thai), ar (Arabic)
Training Details 
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Accepted Modalities:
text
Performance Tips:
Use vLLM for deployment to optimize performance on lengthy texts. Add the 'rope_scaling' configuration when processing long contexts.
LLM NameQwen2.5 72B Instruct AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-AWQ 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM41.6 GB
Updated2025-01-13
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-11   3.9 GB: 2-of-11   4.0 GB: 3-of-11   4.0 GB: 4-of-11   3.9 GB: 5-of-11   4.0 GB: 6-of-11   4.0 GB: 7-of-11   3.9 GB: 8-of-11   4.0 GB: 9-of-11   3.5 GB: 10-of-11   2.5 GB: 11-of-11
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Rank the Qwen2.5 72B Instruct AWQ 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 v20241227
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