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Qwen2.5 72B Instruct by Qwen

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Qwen2.5 72B Instruct is an open-source language model by Qwen. Features: 72b LLM, VRAM: 145.5GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.46.

  Arxiv:2309.00071   Arxiv:2407.10671 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-72b   Chat   Conversational   Deploy:azure   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: 0.46055
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
Updated2026-03-29
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 AWQ7218143041 GB
Qwen2.5 72B Instruct GPTQ Int4435969941 GB
Qwen2.5 72B Instruct GPTQ Int8284721677 GB
Qwen2.5 72B Instruct Bnb 4bit8479241 GB
Athene V2 Chat AWQ4541 GB
Athene V2 Chat 4.65bpw H6 EXL26544 GB
Qwen2.5 72B Instruct 4bit520340 GB

Best Alternatives to Qwen2.5 72B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.2128K / 146 GB18722
AceInstruct 72B128K / 146 GB26117
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB111
...2B PT BR Instruct Experimental128K / 146 GB80
... BI Qwen2.5 72B PT BR Instruct128K / 146 GB50
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB311
72B Qwen2.5 Kunou V1128K / 146 GB22624
EVA Qwen2.5 72B V0.1128K / 146 GB8119
EVA Qwen2.5 72B V0.0128K / 146 GB2255
Qwen2 72B Instruct32K / 145.5 GB42456716
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-72B-Instruct.

Rank the Qwen2.5 72B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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