deepseek-v3-aliyun

DeepSeek-V3 is the flagship open-source language model launched by the DeepSeek team. Its core mission is to achieve high performance while significantly reducing training costs through innovative architecture and training techniques.

• Outstanding Performance: It excels in benchmarks such as MMLU and GPQA, outperforming some closed-source models in coding and math tasks, and delivering superior results in Chinese factual knowledge tasks.
• Reduced Costs: Training costs have been slashed to 2.788 million H800 GPU hours—less than one-third of traditional approaches.
• Increased Speed: Inference speed has more than doubled compared to the previous generation.
• Long-Text Support: It supports long-text processing with a context length of up to 128K tokens.

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Core Capabilities

⚙️ Efficient Architecture: Multi-head latent attention reduces inference memory usage, and the DeepSeekMoE architecture achieves load balancing.

🚀 Multi-Token Prediction: Allows the model to predict multiple future tokens at each position, accelerating inference speed by 1.8 times.

💪 FP8 Training: The first-ever validation of feasibility in ultra-large-scale models, reducing memory usage with minimal performance loss.

⚡ Parallel Framework: Uses bidirectional pipeline scheduling to minimize communication overhead, bringing training efficiency close to the theoretical maximum.