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Qwen2 72B Instruct AWQ GEMM by erickbp

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  Arxiv:2309.00071   4-bit   Autotrain compatible   Awq   Chat   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2 72B Instruct AWQ GEMM Benchmarks

LLME Score: 0.22803
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 AWQ GEMM Parameters and Internals

LLM NameQwen2 72B Instruct AWQ GEMM
Repository 🤗https://huggingface.co/erickbp/Qwen2-72B-Instruct-AWQ-GEMM 
Model Size72b
Required VRAM41.6 GB
Updated2024-09-07
Maintainererickbp
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-11   3.9 GB: 2-of-11   4.0 GB: 3-of-11   4.0 GB: 4-of-11   3.9 GB: 5-of-11   4.0 GB: 6-of-11   4.0 GB: 7-of-11   3.9 GB: 8-of-11   4.0 GB: 9-of-11   3.5 GB: 10-of-11   2.5 GB: 11-of-11
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Qwen2 72B Instruct AWQ GEMM (erickbp/Qwen2-72B-Instruct-AWQ-GEMM)

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Note: green Score (e.g. "73.2") means that the model is better than erickbp/Qwen2-72B-Instruct-AWQ-GEMM.

Rank the Qwen2 72B Instruct AWQ GEMM 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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