腾讯混元发布4款小尺寸模型并开源 支持消费级显卡运行

Core Insights - Tencent Hunyuan has launched four small-sized models: 0.5B, 1.8B, 4B, and 7B, all of which are open-source and can run on consumer-grade graphics cards [1] - The models are compatible with major chip platforms including ARM, Qualcomm, MTK, and Intel, making them suitable for various devices such as smartphones, computers, smart cars, and smart home devices [1] - The new models have demonstrated leading performance in language understanding, mathematics, and reasoning during testing [1] Model Specifications - Hunyuan-4B: - Low power consumption and high efficiency - Maximum input and output of 32K - Suitable for real-time response scenarios with strong inference performance and accuracy - Supports various verticals like finance, education, and healthcare with cost-effective fine-tuning [2] - Hunyuan-7B: - High cost-performance ratio - Can run efficiently on consumer-grade GPUs - Knowledge density significantly higher than other models of similar size, approaching the performance of larger models - Offers flexibility in balancing response rate and depth, with a 256K ultra-long context window [2]