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QVQ-72B-Preview
QVQ-72B-Preview is an experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities. Key Insights • MMMU Benchmark: QVQ-72B-Preview scored an impressive 70.3%, reflecting its strong multidisciplinary reasoning and comprehension capabilities. • MathVision: The model demonstrated significant progress in mathematical reasoning, outperforming earlier benchmarks. • OlympiadBench: It…
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Qwen2.5 Technical Report
Qwen2.5 represents a significant leap in the development of large language models (LLMs). This latest version builds upon its predecessors with comprehensive improvements in pre-training and post-training methodologies. By leveraging a vast dataset of 18 trillion tokens, Qwen2.5 exhibits remarkable advancements in common-sense reasoning, domain expertise, and overall language understanding.…
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Benchmarks of providers of Qwen2.5
Benchmarks of providers of Qwen2.5, a leading open-source model family. Qwen2.5 family of models includes Qwen2.5 72B, Qwen2.5 Coder 32B and a range of smaller models including 1.5B and 0.5B models for ‘edge’ use-cases. Qwen2.5 72B, the flagship model, is competitive in intelligence evaluations with frontier models including Llama 3.3…
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Exploring Qwen QwQ Model
Qwen QwQ 32b Model, specifically the QwQ-32B-Preview, is an experimental research model developed by the Qwen Team, aimed at advancing AI reasoning capabilities. This model is a part of the larger Qwen2 suite, which includes foundational and instruction-tuned language models with a range of parameters from 0.5 to 72 billion. T…
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QwQ-32B-Preview
QwQ-32B-Preview is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations: Specification For more details, please refer to our blog. You can also check Qwen2.5 GitHub, and Documentation. QwQ-32B-Preview Model Performance Through extensive exploration…
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Qwen2.5-Turbo
Following the release of Qwen2.5, the Alibaba development team responded to the community’s requests for models capable of handling longer contexts. Over the past few months, numerous optimizations have been made to enhance the model’s capabilities and inference performance for extremely long contexts. Today, the team proudly introduces Qwen2.5-Turbo, which…
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ModelBox Qwen2.5 Coder
ModelBox now supports Qwen2.5 Coder Inference! With Qwen2.5-Coder-32B-Instruct setting the bar as the current SOTA open-source code model, it matches the coding power of GPT-4o. Start building smart today. Qwen2.5 Coder Models Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now,…
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Qwen2.5-Math
The Alibaba Cloud Dev Team has open-sourced the Qwen2.5-Math series, which includes base models Qwen2.5-Math-1.5B/7B/72B, instruction-tuned models Qwen2.5-Math-1.5B/7B/72B-Instruct, and the Qwen2.5-Math-RM-72B reward model. In contrast to the Qwen2-Math series, which only utilized Chain-of-Thought (CoT) reasoning for solving English math problems, the Qwen2.5-Math series has been expanded to support both Chain-of-Thought…
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Qwen2.5-Coder-32B-Instruct
Now it is the time, Nov. 11! The perfect time for Alibaba Qwen’s best coder model ever! Qwen2.5-Coder-32B-Instruct! Wait wait… it’s more than a big coder! It is a family of coder models! Besides the 32B coder, they have coders of 0.5B / 1.5B / 3B / 7B / 14B!…
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Qwen2.5-Coder
In early April, AlibabaCLoud Dev Team launched CodeQwen1.5, which quickly captured the attention of the community. Since then, they’ve been focused on advancing our coding models. Today, the Team excited to introduce the next generation of open-source coding models: Qwen2.5-Coder. Along with this release, they’re rebranding CodeQwen as Qwen-Coder. “We…