caiwanxianhust / FasterLLaMA
使用 CUDA C++ 实现的 llama 模型推理框架
☆49Updated 5 months ago
Alternatives and similar repositories for FasterLLaMA:
Users that are interested in FasterLLaMA are comparing it to the libraries listed below
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆35Updated 2 weeks ago
- ☆11Updated last month
- ☆28Updated 2 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆63Updated 8 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆17Updated 6 months ago
- ☆117Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆35Updated last month
- Implement Flash Attention using Cute.☆74Updated 3 months ago
- ☆54Updated 2 months ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆39Updated 8 months ago
- A light llama-like llm inference framework based on the triton kernel.☆108Updated this week
- Standalone Flash Attention v2 kernel without libtorch dependency☆108Updated 7 months ago
- A practical way of learning Swizzle☆17Updated 2 months ago
- 📚FFPA(Split-D): Yet another Faster Flash Attention with O(1) GPU SRAM complexity large headdim, 1.8x~3x↑🎉 faster than SDPA EA.☆164Updated last week
- ☆29Updated last year
- 分层解耦的深度学习推理引擎☆72Updated last month
- ☆36Updated 6 months ago
- ☆148Updated 3 months ago
- Examples of CUDA implementations by Cutlass CuTe☆155Updated 2 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆82Updated 3 months ago
- ☆39Updated this week
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆91Updated 2 weeks ago
- ☆58Updated 4 months ago
- GPTQ inference TVM kernel☆38Updated 11 months ago
- ☆43Updated 3 weeks ago
- ☆14Updated 2 weeks ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆68Updated 2 weeks ago
- TensorRT encapsulation, learn, rewrite, practice.☆28Updated 2 years ago
- ☆91Updated 7 months ago
- ☆78Updated 3 weeks ago