Qwen2 1.5B Instruct by Qwen

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Qwen2 1.5B Instruct Benchmarks

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

Qwen2 1.5B Instruct Parameters and Internals

Model Type
text-generation
Additional NotesQwen2 features an improved tokenizer adaptive to multiple natural languages and codes.
Training Details
Methodology:Pretrained with large amounts of data and post-trained with supervised finetuning and direct preference optimization.
Model Architecture:Transformer architecture with SwiGLU activation, attention QKV bias, group query attention.
LLM NameQwen2 1.5B Instruct
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2-1.5B-Instruct 
Model Size1.5b
Required VRAM3.1 GB
Updated2024-11-09
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 1.5B Instruct (Qwen/Qwen2-1.5B-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-1.5B-Instruct.

Rank the Qwen2 1.5B Instruct 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 v20241110