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Qwen1.5 72B Chat by Qwen

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Qwen1.5 72B Chat is an open-source language model by Qwen. Features: 72b LLM, VRAM: 144.6GB, Context: 32K, License: other, HF Score: 66, LLM Explorer Score: 0.31, ELO: 1232, Arc: 68.5, HellaSwag: 86.4, MMLU: 77.4, TruthfulQA: 63.9, WinoGrande: 79.1, GSM8K: 20.4.

  Arxiv:2309.16609 Base model:finetune:qwen/qwen1...   Base model:qwen/qwen1.5-72b   Chat   Conversational   Deploy:azure   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-72B-Chat 

Qwen1.5 72B Chat Benchmarks

LMSys ELO: 1232 vs 1272 (so35)-3.1%
ARC: 68.52 vs 96.7 (so35)-29.1%
HellaSwag: 86.42 vs 95.3 (gpt4)-9.3%
MMLU: 77.44 vs 88.3 (so35)-12.3%
TruthfulQA: 63.9 vs 59 (gpt4)8.3%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 20.39 vs 96.4 (so35)-78.8%
LLME Score: 0.30805
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 72B Chat (Qwen/Qwen1.5-72B-Chat)
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Qwen1.5 72B Chat Parameters and Internals

Model Type 
text-generation, chat
Additional Notes 
Qwen1.5 is a beta version of Qwen2 with improvements over previously released Qwen including multilingual support and better performance.
Supported Languages 
en (Multilingual support)
Training Details 
Methodology:
Pretrained with a large amount of data, post-trained with supervised finetuning and direct preference optimization.
Context Length:
32000
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention
LLM NameQwen1.5 72B Chat
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-72B-Chat 
Base Model(s)  Qwen/Qwen1.5-72B   Qwen/Qwen1.5-72B
Model Size72b
Required VRAM144.6 GB
Updated2026-04-02
MaintainerQwen
Model Typeqwen2
Model Files  3.8 GB: 1-of-38   3.9 GB: 2-of-38   3.9 GB: 3-of-38   3.6 GB: 4-of-38   3.9 GB: 5-of-38   3.9 GB: 6-of-38   3.9 GB: 7-of-38   3.9 GB: 8-of-38   3.6 GB: 9-of-38   3.9 GB: 10-of-38   3.9 GB: 11-of-38   3.9 GB: 12-of-38   3.9 GB: 13-of-38   3.6 GB: 14-of-38   3.9 GB: 15-of-38   3.9 GB: 16-of-38   3.9 GB: 17-of-38   3.9 GB: 18-of-38   3.6 GB: 19-of-38   3.9 GB: 20-of-38   3.9 GB: 21-of-38   3.9 GB: 22-of-38   3.9 GB: 23-of-38   3.6 GB: 24-of-38   3.9 GB: 25-of-38   3.9 GB: 26-of-38   3.9 GB: 27-of-38   3.9 GB: 28-of-38   3.6 GB: 29-of-38   3.9 GB: 30-of-38   3.9 GB: 31-of-38   3.9 GB: 32-of-38   3.9 GB: 33-of-38   3.6 GB: 34-of-38   3.9 GB: 35-of-38   3.9 GB: 36-of-38   3.9 GB: 37-of-38   2.5 GB: 38-of-38
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen1.5 72B Chat

Model
Likes
Downloads
VRAM
Qwen1.5 72B Chat AWQ2631541 GB
Qwen1.5 72B Chat 4bit22042 GB
Qwen1.5 72B Chat GPTQ1645 GB

Best Alternatives to Qwen1.5 72B Chat

Best Alternatives
Context / RAM
Downloads
Likes
...R10528DistillQwen 72B Preview3195K / 146 GB156
Qwen2.5 72B128K / 145.5 GB5849696
Qwen2 72B128K / 145.5 GB27454200
Ultiima 72B128K / 146.1 GB1303
Homer V1.0 Qwen2.5 72B128K / 146.1 GB36
Ultiima 72B V1.5128K / 146.1 GB140
EVA Qwen2.5 72B V0.2128K / 146 GB18722
AceInstruct 72B128K / 146 GB26117
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB111
Kimi Dev 72B128K / 83.4 GB1467383
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-72B-Chat.

Rank the Qwen1.5 72B Chat 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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