Qwen1.5 7B Int3 GPTQ Wikitext2 by Xu-Ouyang

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  Arxiv:1910.09700   3-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen1.5 7B Int3 GPTQ Wikitext2 Benchmarks

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

Qwen1.5 7B Int3 GPTQ Wikitext2 Parameters and Internals

LLM NameQwen1.5 7B Int3 GPTQ Wikitext2
Repository ๐Ÿค—https://huggingface.co/Xu-Ouyang/Qwen1.5-7B-int3-GPTQ-wikitext2 
Model Size7b
Required VRAM5 GB
Updated2024-09-07
MaintainerXu-Ouyang
Model Typeqwen2
Model Files  3.8 GB: 1-of-2   1.2 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen1.5 7B Int3 GPTQ Wikitext2 (Xu-Ouyang/Qwen1.5-7B-int3-GPTQ-wikitext2)

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Note: green Score (e.g. "73.2") means that the model is better than Xu-Ouyang/Qwen1.5-7B-int3-GPTQ-wikitext2.

Rank the Qwen1.5 7B Int3 GPTQ Wikitext2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803