Qwen2.5 72B Instruct by Qwen

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  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

Qwen2.5 72B Instruct Benchmarks

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)

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 ๐Ÿค—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
Updated2024-12-22
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 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 AWQ515044441 GB
Qwen2.5 72B Instruct GPTQ Int4265032141 GB
Qwen2.5 72B Instruct 4bit31757640 GB
Qwen2.5 72B Instruct GPTQ Int8131025577 GB
Qwen2.5 72B Instruct Bnb 4bit3698541 GB
Athene V2 Chat AWQ423241 GB
Athene V2 Chat 4.65bpw H6 EXL2515144 GB

Best Alternatives to Qwen2.5 72B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.2128K / 146 GB123210
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB231
72B Qwen2.5 Kunou V1128K / 146 GB55518
EVA Qwen2.5 72B V0.1128K / 146 GB64613
EVA Qwen2.5 72B V0.0128K / 146 GB1415
Athene V2 Chat32K / 146 GB7224244
Qwen2 72B Instruct32K / 145.5 GB40816689
Rombos LLM V2.5 Qwen 72B32K / 146.1 GB297030
Magnum V1 72B32K / 146 GB5499162
RYS XLarge32K / 156.3 GB279079
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

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217