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Qwen2.5 0.5B Instruct by MatthewsFace

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  Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MatthewsFace/Qwen2.5-0.5B-Instruct 

Qwen2.5 0.5B Instruct Benchmarks

LLME Score: 0.22007
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 (MatthewsFace/Qwen2.5-0.5B-Instruct)
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Qwen2.5 0.5B Instruct Parameters and Internals

LLM NameQwen2.5 0.5B Instruct
Repository 🤗https://huggingface.co/MatthewsFace/Qwen2.5-0.5B-Instruct 
Model Size0.5b
Required VRAM1 GB
Updated2025-07-10
MaintainerMatthewsFace
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Quantized Models of the Qwen2.5 0.5B Instruct

Model
Likes
Downloads
VRAM
...edCore Qwen2.5 0.5B 16bit Mini01651 GB

Best Alternatives to Qwen2.5 0.5B Instruct

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Context / RAM
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Qwen2 0.5B Abyme Merge3128K / 1.3 GB51
Qwen2 0.5B Abyme Merge2128K / 0.3 GB60
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Qwen2.5 0.5B Instruct32K / 1 GB438827818
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Limbic Tool Use 0.5B 32K32K / 1 GB22723
Lb Reranker 0.5B V1.032K / 1 GB1669272
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Lyrics Qwen2.5 0.5B Instruct32K / 1 GB442
Qwen2.5 Coder 0.5B Instruct32K / 1 GB1415150
Note: green Score (e.g. "73.2") means that the model is better than MatthewsFace/Qwen2.5-0.5B-Instruct.

Rank the Qwen2.5 0.5B 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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