Qwen2 37B Pruned Dense by carsonpoole

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Rank the Qwen2 37B Pruned Dense 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 37B Pruned Dense (carsonpoole/Qwen2-37B-Pruned-Dense)

Qwen2 37B Pruned Dense Parameters and Internals

LLM NameQwen2 37B Pruned Dense
RepositoryOpen on ๐Ÿค— 
Model Size37b
Required VRAM75.5 GB
Updated2024-06-24
Maintainercarsonpoole
Model Typeqwen2
Instruction-BasedYes
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
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151646
Initializer Range0.02
Torch Data Typefloat16
Errorsreplace

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