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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

Qwen2 72B Instruct Every Other Layer Benchmarks

LLME Score: 0.22618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 72B Instruct Every Other Layer Parameters and Internals

LLM NameQwen2 72B Instruct Every Other Layer
Repository 🤗https://huggingface.co/carsonpoole/Qwen2-72B-Instruct-Every-Other-Layer 
Model Size72b
Required VRAM0 GB
Updated2024-09-06
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   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
Torch Data Typefloat16
Errorsreplace
Qwen2 72B Instruct Every Other Layer (carsonpoole/Qwen2-72B-Instruct-Every-Other-Layer)

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Note: green Score (e.g. "73.2") means that the model is better than carsonpoole/Qwen2-72B-Instruct-Every-Other-Layer.

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  

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Release v2024072803
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