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5c08a36cbfaeefab461ef7c42d897acae568b97a
sglang/python/sglang/srt/layers/moe
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hzh0425 5c08a36cbf [Fix] ensure DeepGEMM is only enabled for FP8_W8A8 models (#8110)
2025-07-16 21:33:29 -07:00
..
ep_moe
[Fix] ensure DeepGEMM is only enabled for FP8_W8A8 models (#8110)
2025-07-16 21:33:29 -07:00
fused_moe_triton
[1/n] chore: decouple quantization implementation from vLLM dependency (#7992)
2025-07-16 15:56:26 -07:00
cutlass_moe_params.py
[CUTLASS-FP4-MOE] Introduce CutlassMoEParams class for easy initialization of Cutlass Grouped Gems Metadata (#6887)
2025-06-05 13:13:14 -07:00
cutlass_moe.py
Add a CUDA kernel for fusing mapping and weighted sum for MoE. (#6916)
2025-06-07 15:24:39 -07:00
cutlass_w4a8_moe.py
feat: support DeepSeek-R1-W4AFP8 model with ep-moe mode (#7762)
2025-07-07 14:47:21 -07:00
fused_moe_native.py
[CPU] [BF16] Call fused_experts_cpu, weight_packed_linear and bmm_cpu kernel in DeepSeek model (#6641)
2025-06-25 01:43:33 -07:00
router.py
Improve streaming, log_level, memory report, weight loading, and benchmark script (#7632)
2025-06-29 23:16:19 -07:00
topk.py
[feature]Ascend quantization support (#7791)
2025-07-10 09:17:37 -07:00
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