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Model Details
Domain:
Model Access:
Open weights (unrestricted)
Introduction
In the past three months since Qwen2’s release, numerous developers have built new models on the Qwen2 language models, providing us with valuable feedback. During this period, we have focused on creating smarter and more knowledgeable language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5. We are announcing what might be the largest opensource release in history! Let’s get the party started! The Qwen2.5-7B model surpasses its predecessors and counterparts in numerous benchmarks, despite having fewer non-embedding parameters. It demonstrates significant improvements across various tasks, achieving 74.2 on general benchmarks like MMLU, 49.8 on math challenges such as MATH, and 57.9 on coding tasks like HumanEval.
Benchmarking
FLOPs
1.59e+24Notes: Training dataset size was 18 trillion 6ND = 6 * 14.7 billion parameters * 18 trillion tokens = 1.59e24
Training
Training Code Accessibility
Apache 2.0Size Notes: "In terms of Qwen2.5, the language models, all models are pretrained on our latest large-scale dataset, encompassing up to 18 trillion tokens"
Parameters
Parameters
14700000000Notes: 14.7B according to the model card https://qwenlm.github.io/blog/qwen2.5-llm/
Authors
Qwen Team
Multimodal
Vision
Video