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Qwen2.5 72B Instruct by Qwen

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  99150   
  Arxiv:2309.00071   Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-72b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct 

Qwen2.5 72B Instruct Benchmarks

MMLU Pro: 51.4
GPQA: 16.67
MUSR: 11.74
BBH: 61.87
IFEval: 86.38 vs 88 (so35)-1.8%
MATH Lvl 5: 59.82
LLME Score: 0.4715
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 (Qwen/Qwen2.5-72B-Instruct)
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Qwen2.5 72B Instruct Parameters and Internals

Model Type 
Causal Language Models
Use Cases 
Areas:
chat
Supported Languages 
en (multilingual)
Training Details 
Methodology:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
LLM NameQwen2.5 72B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-72B-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B   Qwen/Qwen2.5-72B
Model Size72b
Required VRAM145.5 GB
Updated2025-07-18
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.8 GB: 1-of-37   4.0 GB: 2-of-37   3.8 GB: 3-of-37   4.0 GB: 4-of-37   4.0 GB: 5-of-37   4.0 GB: 6-of-37   3.8 GB: 7-of-37   4.0 GB: 8-of-37   4.0 GB: 9-of-37   4.0 GB: 10-of-37   3.8 GB: 11-of-37   4.0 GB: 12-of-37   4.0 GB: 13-of-37   4.0 GB: 14-of-37   3.8 GB: 15-of-37   4.0 GB: 16-of-37   4.0 GB: 17-of-37   4.0 GB: 18-of-37   3.8 GB: 19-of-37   4.0 GB: 20-of-37   4.0 GB: 21-of-37   4.0 GB: 22-of-37   3.8 GB: 23-of-37   4.0 GB: 24-of-37   4.0 GB: 25-of-37   4.0 GB: 26-of-37   3.8 GB: 27-of-37   4.0 GB: 28-of-37   4.0 GB: 29-of-37   4.0 GB: 30-of-37   3.8 GB: 31-of-37   4.0 GB: 32-of-37   4.0 GB: 33-of-37   4.0 GB: 34-of-37   3.8 GB: 35-of-37   4.0 GB: 36-of-37   3.5 GB: 37-of-37
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 72B Instruct

Model
Likes
Downloads
VRAM
Qwen2.5 72B Instruct AWQ7113509641 GB
Qwen2.5 72B Instruct GPTQ Int437998941 GB
Qwen2.5 72B Instruct Bnb 4bit8372641 GB
Qwen2.5 72B Instruct GPTQ Int827160577 GB
Qwen2.5 72B Instruct 4bit6107240 GB
Athene V2 Chat AWQ4741 GB
Athene V2 Chat 4.65bpw H6 EXL26744 GB

Best Alternatives to Qwen2.5 72B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
AceInstruct 72B128K / 146 GB91118
EVA Qwen2.5 72B V0.2128K / 146 GB13321
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB61
...2B PT BR Instruct Experimental128K / 146 GB180
... BI Qwen2.5 72B PT BR Instruct128K / 146 GB50
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB61
72B Qwen2.5 Kunou V1128K / 146 GB4522
EVA Qwen2.5 72B V0.1128K / 146 GB10317
EVA Qwen2.5 72B V0.0128K / 146 GB1275
Qwen2 72B Instruct32K / 145.5 GB47698716

Rank the Qwen2.5 72B Instruct 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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