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Qwen2.5 3B Reasoner by jayasuryajsk

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Model Card on HF 🤗: https://huggingface.co/jayasuryajsk/Qwen2.5-3B-reasoner 

Qwen2.5 3B Reasoner Benchmarks

MMLU Pro: 27.58
GPQA: 6.94
MUSR: 10.3
BBH: 25.27
IFEval: 41.6 vs 88 (so35)-52.7%
MATH Lvl 5: 20.85
LLME Score: 0.32048
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Reasoner (jayasuryajsk/Qwen2.5-3B-reasoner)

Qwen2.5 3B Reasoner Parameters and Internals

LLM NameQwen2.5 3B Reasoner
Repository 🤗https://huggingface.co/jayasuryajsk/Qwen2.5-3B-reasoner 
Base Model(s)  unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2025-02-22
Maintainerjayasuryajsk
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than jayasuryajsk/Qwen2.5-3B-reasoner.

Rank the Qwen2.5 3B Reasoner 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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Release v20241227
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