Qwen2 1.5B Instruct by AlekseyKorshuk

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

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 (AlekseyKorshuk/Qwen2-1.5B-Instruct)

Qwen2 1.5B Instruct Parameters and Internals

LLM NameQwen2 1.5B Instruct
Repository ๐Ÿค—https://huggingface.co/AlekseyKorshuk/Qwen2-1.5B-Instruct 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-01
MaintainerAlekseyKorshuk
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB: 1-of-4   1.0 GB: 2-of-4   1.0 GB: 3-of-4   0.1 GB: 4-of-4   3.1 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Vocabulary Size151936
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AlekseyKorshuk/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 v20241227