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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

LLME Score: 0.4652
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 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
Updated2024-11-21
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
Qwen2.5 72B Instruct (Qwen/Qwen2.5-72B-Instruct)

Quantized Models of the Qwen2.5 72B Instruct

Model
Likes
Downloads
VRAM
Qwen2.5 72B Instruct AWQ403061541 GB
Qwen2.5 72B Instruct GPTQ Int4232172541 GB
Athene V2 Chat AWQ23941 GB
Qwen2.5 72B Instruct GPTQ Int87714577 GB
Athene V2 Chat 4.65bpw H6 EXL232944 GB
Qwen2.5 72B Instruct Bnb 4bit3224541 GB
Qwen2.5 72B Instruct 4bit321840 GB

Best Alternatives to Qwen2.5 72B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
EVA Qwen2.5 72B V0.1128K / 146 GB3598
EVA Qwen2.5 72B V0.0128K / 146 GB3674
Qwen2 72B Instruct32K / 145.5 GB48269677
Athene V2 Chat32K / 146 GB134589
RYS XLarge32K / 156.3 GB265078
Dracarys 72B Instruct32K / 146 GB286019
Athene V2 Agent32K / 146 GB67857
Calme 2.1 Qwen2 72B32K / 146 GB500428
Calme 2.2 Qwen2 72B32K / 146 GB25435
MG FinalMix 72B32K / 146.1 GB25544
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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Release v20241110
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