Qwen1.5 32B by Qwen

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  Arxiv:2309.16609   Autotrain compatible   Conversational   En   Endpoints compatible   Pretrained   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen1.5-32B 

Qwen1.5 32B Benchmarks

Qwen1.5 32B (Qwen/Qwen1.5-32B)

Qwen1.5 32B Parameters and Internals

Model Type 
text generation, transformer-based, decoder-only
Additional Notes 
We do not advise you to use base language models for text generation. Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., on this model.
Supported Languages 
languages_list (Multilingual support of both base and chat models), proficiency_level (High)
Training Details 
Methodology:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention.
Context Length:
32768
Model Architecture:
Transformer-based decoder-only language model
LLM NameQwen1.5 32B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen1.5-32B 
Model Size32b
Required VRAM65.5 GB
Updated2025-04-14
MaintainerQwen
Model Typeqwen2
Model Files  3.9 GB: 1-of-17   3.9 GB: 2-of-17   3.9 GB: 3-of-17   3.9 GB: 4-of-17   3.9 GB: 5-of-17   3.9 GB: 6-of-17   3.9 GB: 7-of-17   3.9 GB: 8-of-17   3.9 GB: 9-of-17   3.9 GB: 10-of-17   3.9 GB: 11-of-17   3.9 GB: 12-of-17   3.9 GB: 13-of-17   3.9 GB: 14-of-17   3.9 GB: 15-of-17   3.9 GB: 16-of-17   3.1 GB: 17-of-17
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227