OpenPPL / ppl.llm.servingLinks
☆128Updated 7 months ago
Alternatives and similar repositories for ppl.llm.serving
Users that are interested in ppl.llm.serving are comparing it to the libraries listed below
Sorting:
- ☆139Updated last year
- ☆149Updated 6 months ago
- ☆59Updated 8 months ago
- Transformer related optimization, including BERT, GPT☆59Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆39Updated 5 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆474Updated last year
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆110Updated last year
- ☆96Updated 10 months ago
- ☆145Updated 4 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆135Updated 3 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆102Updated 3 months ago
- ☆92Updated 4 months ago
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆254Updated last month
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆262Updated 2 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆93Updated 2 weeks ago
- ☆137Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆273Updated last year
- ☆80Updated last week
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆61Updated last year
- ☆474Updated last week
- Standalone Flash Attention v2 kernel without libtorch dependency☆111Updated 10 months ago
- PyTorch distributed training acceleration framework☆51Updated 5 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆134Updated 2 weeks ago
- ⚡️FFPA: Extend FlashAttention-2 with Split-D, achieve ~O(1) SRAM complexity for large headdim, 1.8x~3x↑ vs SDPA.🎉☆194Updated 2 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆74Updated 11 months ago
- ☆102Updated 4 months ago
- export llama to onnx☆130Updated 7 months ago
- ☆89Updated 2 months ago
- ☆37Updated 9 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆260Updated 2 weeks ago