OpenPPL / ppl.llm.servingLinks
☆127Updated 5 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
- ☆148Updated 5 months ago
- ☆58Updated 7 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆38Updated 3 months ago
- Transformer related optimization, including BERT, GPT☆59Updated last year
- ☆141Updated 3 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆126Updated 2 months ago
- ☆86Updated 2 months ago
- ☆96Updated 9 months ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆55Updated 10 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆100Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆110Updated 9 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆100Updated 2 months ago
- ☆135Updated last year
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆256Updated 3 weeks ago
- PyTorch distributed training acceleration framework☆49Updated 4 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆92Updated 3 weeks ago
- A collection of memory efficient attention operators implemented in the Triton language.☆272Updated last year
- Transformer related optimization, including BERT, GPT☆39Updated 2 years ago
- PyTorch bindings for CUTLASS grouped GEMM.☆127Updated 5 months ago
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆246Updated last week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆252Updated 7 months ago
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆87Updated last month
- ☆194Updated last month
- ☆36Updated 8 months ago
- ☆79Updated last year
- ☆97Updated 2 months ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆474Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆195Updated 4 months ago
- ☆48Updated last month