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Qwen2.5 72B by Qwen

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Qwen2.5 72B is an open-source language model by Qwen. Features: 72b LLM, VRAM: 145.5GB, Context: 128K, License: other, LLM Explorer Score: 0.33.

  Arxiv:2407.10671   Conversational   Deploy:azure   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-72B 

Qwen2.5 72B Benchmarks

MMLU Pro: 55.2
GPQA: 20.69
MUSR: 19.64
BBH: 54.62
IFEval: 41.37 vs 88 (so35)-53%
MATH Lvl 5: 39.12
LLME Score: 0.33413
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 (Qwen/Qwen2.5-72B)
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Qwen2.5 72B Parameters and Internals

Model Type 
text generation, instruction-tuned, multilingual
Use Cases 
Areas:
research, coding, math, instruction-following, multilingual tasks
Limitations:
Not recommended for conversational tasks without post-training
Additional Notes 
Specialized expert models enhance domain knowledge and capability. Long-context support up to 128K tokens with generation up to 8K tokens.
Supported Languages 
English (yes), Chinese (yes), French (yes), Spanish (yes), Portuguese (yes), German (yes), Italian (yes), Russian (yes), Japanese (yes), Korean (yes), Vietnamese (yes), Thai (yes), Arabic (yes), Multilingual (yes)
Training Details 
Methodology:
Pretraining with transformers incorporating RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Context Length:
131072
Model Architecture:
transformers
LLM NameQwen2.5 72B
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-72B 
Model Size72b
Required VRAM145.5 GB
Updated2026-04-13
MaintainerQwen
Model Typeqwen2
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 Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 72B

Model
Likes
Downloads
VRAM
Qwen2.5 72B Instruct 8bit329477 GB

Best Alternatives to Qwen2.5 72B

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Context / RAM
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...R10528DistillQwen 72B Preview3195K / 146 GB156
Ultiima 72B128K / 146.1 GB1263
Homer V1.0 Qwen2.5 72B128K / 146.1 GB796
Ultiima 72B V1.5128K / 146.1 GB140
Qwen2 72B128K / 145.5 GB27337200
EVA Qwen2.5 72B V0.2128K / 146 GB20822
AceInstruct 72B128K / 146 GB26117
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB111
Dolphin 2.9.2 Qwen2 72B128K / 146 GB1515162
Kimi Dev 72B128K / 83.4 GB2278384

Rank the Qwen2.5 72B 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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