Qwen2 72B Instruct Every Other Layer by carsonpoole

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Pytorch   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Rank the Qwen2 72B Instruct Every Other Layer 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  
Qwen2 72B Instruct Every Other Layer (carsonpoole/Qwen2-72B-Instruct-Every-Other-Layer)

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Qwen2 72B Instruct Every Other Layer Parameters and Internals

LLM NameQwen2 72B Instruct Every Other Layer
RepositoryOpen on ๐Ÿค— 
Model Size72b
Required VRAM0 GB
Model Typeqwen2
Model Files  4.5 GB: 1-of-16   5.0 GB: 2-of-16   4.8 GB: 3-of-16   4.8 GB: 4-of-16   4.8 GB: 5-of-16   5.0 GB: 6-of-16   4.8 GB: 7-of-16   4.8 GB: 8-of-16   4.8 GB: 9-of-16   5.0 GB: 10-of-16   4.8 GB: 11-of-16   4.8 GB: 12-of-16   4.8 GB: 13-of-16   5.0 GB: 14-of-16   4.8 GB: 15-of-16   3.0 GB: 16-of-16   0.0 GB: 1-of-2   0.0 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801