BBuf / tensorrt-llm-moeLinks
☆33Updated 10 months ago
Alternatives and similar repositories for tensorrt-llm-moe
Users that are interested in tensorrt-llm-moe are comparing it to the libraries listed below
Sorting:
- Standalone Flash Attention v2 kernel without libtorch dependency☆112Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 3 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆138Updated 7 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆78Updated last year
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆46Updated 6 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆43Updated 9 months ago
- ☆65Updated 8 months ago
- ☆59Updated 5 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Updated 4 months ago
- Implement Flash Attention using Cute.☆98Updated last year
- ☆152Updated 11 months ago
- A Triton JIT runtime and ffi provider in C++☆29Updated last week
- ☆103Updated last year
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆84Updated last week
- ☆137Updated this week
- llama INT4 cuda inference with AWQ☆55Updated 11 months ago
- ☆97Updated 8 months ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆52Updated last year
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆242Updated last month
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆70Updated last year
- ☆112Updated 7 months ago
- Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend☆93Updated this week
- ☆14Updated last month
- 使用 CUDA C++ 实现的 llama 模型推理框架☆63Updated last year
- ☆48Updated last year
- ☆60Updated last year
- DeeperGEMM: crazy optimized version☆73Updated 7 months ago
- ☆20Updated last year
- GPTQ inference TVM kernel☆41Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆123Updated last year