Files
vllm/vllm/model_executor/layers/fused_moe/configs
Julien Denize d8c6210eea Add Mistral Large 3 and Ministral 3 (#29757)
Signed-off-by: Julien Denize <julien.denize@mistral.ai>
Signed-off-by: Julien Denize <40604584+juliendenize@users.noreply.github.com>
Signed-off-by: Mickael Seznec <mickael@mistral.ai>
Signed-off-by: Roger Wang <hey@rogerw.io>
Co-authored-by: Roger Wang <hey@rogerw.io>
Co-authored-by: Mickael Seznec <mickael@mistral.ai>
2025-12-02 10:29:00 +00:00
..

This directory contains tuned configurations for different settings of the fused_moe kernel.
For different settings of
- E (number of experts)
- N (intermediate size)
- device_name (torch.cuda.get_device_name())
the JSON file contains a mapping from M (batch size) to the chosen configuration.

The example configurations provided are for the Mixtral model for TP2 on H100
and TP4 on A100. Mixtral has intermediate size N = 14336, i.e. for TP2 we have
N = 7168 and for TP4 we have N = 3584.

See `benchmark/kernels/benchmark_moe.py` on how to generate these config files.