Qwen2.5 14B Instruct 1M GRPO Reasoning by notbdq

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Qwen2.5 14B Instruct 1M GRPO Reasoning Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 14B Instruct 1M GRPO Reasoning Parameters and Internals

LLM NameQwen2.5 14B Instruct 1M GRPO Reasoning
Repository ๐Ÿค—https://huggingface.co/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning 
Model Size14b
Required VRAM29.7 GB
Updated2025-06-09
Maintainernotbdq
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 14B Instruct 1M GRPO Reasoning (notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning)

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Note: green Score (e.g. "73.2") means that the model is better than notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning.

Rank the Qwen2.5 14B Instruct 1M GRPO Reasoning 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