MedAIBase/AntAngelMed-INT4 is a high-performance quantized version of
MedAIBase/AntAngelMed designed for high-efficiency clinical applications. This model utilizes
GPTQ INT4 quantization to significantly accelerate inference speeds and reduce memory consumption while maintaining high numerical accuracy. It is specifically optimized for large-scale medical AI deployment.
The FP8-quantized architecture is purpose-built for high-concurrency production environments. It addresses the "memory wall" often encountered in medical LLMs, enabling the deployment of larger models on cost-effective hardware.
These metrics demonstrate robust acceleration performance across diverse and complex domains.
Despite the aggressive quantization, the model maintains high-fidelity outputs. As shown below, the accuracy trade-off is negligible, ensuring clinical reliability is preserved.
1python3 -m sglang.launch_server \
2 --model-path MedAIBase/AntAngelMed-INT4 \
3 --host 0.0.0.0 --port 30012 \
4 --trust-remote-code \
5 --attention-backend fa3 \
6 --mem-fraction-static 0.9 \
7 --tp-size 1
8
