sglangv0.5.2 & support Qwen3-Next-80B-A3B-Instruct

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maxiao1
2025-09-13 17:00:20 +08:00
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## DeepSeek kernels benchmark
### Prerequisites
- You should install [DeepGemm](https://github.com/deepseek-ai/DeepGEMM) from source before run `benchmark_deepgemm_fp8_gemm.py` and `benchmark_deepgemm_fp8_group_gemm.py`.
### Benchmark
- `benchmark_deepgemm_fp8_gemm.py`
```bash
python benchmark_deepgemm_fp8_gemm.py --run_correctness --tp_size 1
```
- `benchmark_deepgemm_fp8_group_gemm.py`
```bash
python benchmark_deepgemm_fp8_group_gemm.py --run_correctness --tp_size 1
```
- You can use the `--run_correctness` parameter to verify all kernels results's correctness.
- You can use the `--tp_size` parameter to benchmark all FP8 w8a8 block-wise matrix multiplications involved in DeepSeek V3/R1 under the current tensor parallelism (TP) setting. This benchmark compares DeepSeek's open-source [DeepGemm](https://github.com/deepseek-ai/DeepGEMM) implementation with SGLang's and VLLM Triton implementation.