Built with MiniMax M3.

FP8 W8A8 quantization of MiniMaxAI/MiniMax-M3 produced with NVIDIA TensorRT Model Optimizer (per-tensor static scales, calibrated on a 512-sample proprietary domain-matched dataset). Scope:

vLLM releases to date drop MiniMax-M3's swigluoai activation constants (swiglu_alpha=1.702, swiglu_beta=1.0) in the ModelOpt FP8 MoE path, which makes this checkpoint (and any FP8 M3 checkpoint) produce incoherent output while loading without error. Fixes: vllm-project/vllm#49473 (ModelOpt path) and vllm-project/vllm#46845 (compressed-tensors path). Serve only with a build containing #49473 or with the equivalent patch applied.

vllm serve --tensor-parallel-size 8 --enable-expert-parallel --trust-remote-code --language-model-only

On an internal SWE-bench-based agentic coding evaluation (300 instances, identical harness and hardware), this checkpoint ties the official MiniMaxAI/MiniMax-M3-MXFP8 cumulative pass@1-3 (77 = 77) and resolves more instances on the first attempt (pass@1 54 vs 51).

This model inherits the MiniMax Community License of the base model, including its use restrictions and the commercial-use authorization requirement for large entities.