LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Qwen2.5 Math 72B Instruct by Qwen

 »  All LLMs  »  Qwen  »  Qwen2.5 Math 72B Instruct   URL Share it on

  7640   
  Arxiv:2409.12122   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct 

Qwen2.5 Math 72B Instruct Benchmarks

MMLU Pro: 42.36
GPQA: 10.85
MUSR: 16.34
BBH: 48.97
IFEval: 40.03 vs 88 (so35)-54.5%
MATH Lvl 5: 62.39
LLME Score: 0.37834
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Math 72B Instruct (Qwen/Qwen2.5-Math-72B-Instruct)

Qwen2.5 Math 72B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Chat, Math Problem Solving
Primary Use Cases:
Solving Math Problems in English and Chinese
Limitations:
Not recommended for non-math tasks
Additional Notes 
Qwen2.5-Math-72B-Instruct is mainly for instructional and chat purposes, whereas Qwen2.5-Math-72B is for base completions and few-shot inference.
Supported Languages 
en (English proficiency), zh (Chinese proficiency)
Training Details 
Methodology:
Chain-of-Thought (CoT) and Tool-integrated Reasoning (TIR)
Input Output 
Input Format:
Prompts for math problems
Accepted Modalities:
text
Output Format:
Text
LLM NameQwen2.5 Math 72B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Math-72B   Qwen/Qwen2.5-Math-72B
Model Size72b
Required VRAM145.5 GB
Updated2025-02-22
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 Length4096
Model Max Length4096
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 Math 72B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.2128K / 146 GB239416
AceInstruct 72B128K / 146 GB18714
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB80
72B Qwen2.5 Kunou V1128K / 146 GB86021
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB520
EVA Qwen2.5 72B V0.1128K / 146 GB86115
EVA Qwen2.5 72B V0.0128K / 146 GB1035
Qwen2.5 72B Instruct32K / 145.5 GB354013741
Athene V2 Chat32K / 146 GB9149280
Qwen2 72B Instruct32K / 145.5 GB47866706
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Math-72B-Instruct.

Rank the Qwen2.5 Math 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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer