inclusionAI Releases Ling-3.0-flash-Sante-fp8, an FP8-Quantized Healthcare Model

inclusionAI released Ling-3.0-flash-Sante-fp8, an FP8-quantized version of its healthcare-specialized Ling-3.0-flash-Sante model, keeping 124B total and 5.1B active parameters per token. It matches the BF16 checkpoint's 73.9 average across healthcare benchmarks while cutting weight memory for FP8-capable hardware. The research-only model supports 256K-token contexts and defaults to thinking mode with tool calling.