PowerQwen 1.5B V1 by mahiatlinux

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  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Sft   Trl   Unsloth

PowerQwen 1.5B V1 Benchmarks

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

PowerQwen 1.5B V1 Parameters and Internals

LLM NamePowerQwen 1.5B V1
Repository ๐Ÿค—https://huggingface.co/mahiatlinux/PowerQwen-1.5B-v1 
Base Model(s)  unsloth/qwen2-1.5b-instruct-bnb-4bit   unsloth/qwen2-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2024-08-22
Maintainermahiatlinux
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
PowerQwen 1.5B V1 (mahiatlinux/PowerQwen-1.5B-v1)

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Note: green Score (e.g. "73.2") means that the model is better than mahiatlinux/PowerQwen-1.5B-v1.

Rank the PowerQwen 1.5B V1 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