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

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning 

Qwen2.5 14B Instruct 1M GRPO Reasoning Benchmarks

MMLU Pro: 42.77
GPQA: 12.42
MUSR: 11.35
BBH: 45.66
IFEval: 84.14 vs 88 (so35)-4.4%
MATH Lvl 5: 53.02
LLME Score: 0.34932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B Instruct 1M GRPO Reasoning (notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning)

Qwen2.5 14B Instruct 1M GRPO Reasoning Parameters and Internals

LLM NameQwen2.5 14B Instruct 1M GRPO Reasoning
Repository 🤗https://huggingface.co/notbdq/Qwen2.5-14B-Instruct-1M-GRPO-Reasoning 
Model Size14b
Required VRAM29.7 GB
Updated2025-05-31
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

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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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Release v20241227
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