Qwen2.5 0.5B Instruct With Output Tokens by August4293

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Qwen2.5 0.5B Instruct With Output Tokens Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Instruct With Output Tokens (August4293/Qwen2.5-0.5B-Instruct-with-output-tokens)
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Qwen2.5 0.5B Instruct With Output Tokens Parameters and Internals

LLM NameQwen2.5 0.5B Instruct With Output Tokens
Repository ๐Ÿค—https://huggingface.co/August4293/Qwen2.5-0.5B-Instruct-with-output-tokens 
Model Size0.5b
Required VRAM2 GB
Updated2025-07-25
MaintainerAugust4293
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151667
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than August4293/Qwen2.5-0.5B-Instruct-with-output-tokens.

Rank the Qwen2.5 0.5B Instruct With Output Tokens 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 v20241124