Menda 3B 500 by weathermanj

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Menda 3B 500 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Menda 3B 500 (weathermanj/Menda-3B-500)
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Menda 3B 500 Parameters and Internals

LLM NameMenda 3B 500
Repository ๐Ÿค—https://huggingface.co/weathermanj/Menda-3B-500 
Model Size3b
Required VRAM6.2 GB
Updated2025-07-13
Maintainerweathermanj
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than weathermanj/Menda-3B-500.

Rank the Menda 3B 500 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