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Alibaba Cloud’s Qwen2.5-Max Secures Top Rankings in Chatbot Arena
Alibaba Cloud’s latest proprietary large language model(LLM), Qwen2.5-Max, has achieved impressive results on Chatbot Arena, a well-recognized open platform that evaluates the world’s best LLM and AI chatbots. Ranked #7 overall in the Arena score, Qwen2.5-Max matches other top proprietary LLMs and demonstrates exceptional capabilities, particularly in technical domains. It ranks #1 position in math and coding and ranks #2 in hard prompts, which involve complex prompts in addressing challenging tasks, solidifying its status as a powerhouse in tackling complex tasks. As a cutting-edge Mixture of Experts (MoE) model, Qwen2.5-Max has been trained on over 20 trillion tokens and further refined with Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) techniques. Leveraging these technological advancements, Qwen2.5-Max has demonstrated exceptional strengths in knowledge, coding, general capabilities, and human alignment, securing leading scores in major benchmarks including MMLU-Pro, LiveCodeBench, LiveBench, and Arena-Hard. Click here to read all. Originally published at https://www.alibabacloud.com. https://discord.com/invite/KPmq628K63
Alibaba Cloud’s latest proprietary large language model(LLM), Qwen2.5-Max, has achieved impressive results on Chatbot Arena, a well-recognized open platform that evaluates the world’s best LLM and AI chatbots. Ranked #7 overall in the Arena score, Qwen2.5-Max matches other top proprietary LLMs and demonstrates exceptional capabilities, particularly in technical domains. It ranks #1 position in math and coding and ranks #2 in hard prompts, which involve complex prompts in addressing challenging tasks, solidifying its status as a powerhouse in tackling complex tasks.
As a cutting-edge Mixture of Experts (MoE) model, Qwen2.5-Max has been trained on over 20 trillion tokens and further refined with Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) techniques. Leveraging these technological advancements, Qwen2.5-Max has demonstrated exceptional strengths in knowledge, coding, general capabilities, and human alignment, securing leading scores in major benchmarks including MMLU-Pro, LiveCodeBench, LiveBench, and Arena-Hard.
Click here to read all. Originally published at https://www.alibabacloud.com.
