anyscale / llm-continuous-batching-benchmarksLinks
☆118Updated last year
Alternatives and similar repositories for llm-continuous-batching-benchmarks
Users that are interested in llm-continuous-batching-benchmarks are comparing it to the libraries listed below
Sorting:
- ☆193Updated 3 weeks ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆208Updated 9 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆122Updated 5 months ago
- Easy and Efficient Quantization for Transformers☆198Updated 3 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 8 months ago
- ☆85Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆93Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆305Updated 11 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆196Updated this week
- ☆127Updated 5 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆69Updated 11 months ago
- A low-latency & high-throughput serving engine for LLMs☆370Updated this week
- Zero Bubble Pipeline Parallelism☆395Updated 3 weeks ago
- ☆105Updated 9 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆378Updated last month
- ☆71Updated 2 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆99Updated last month
- LLM Serving Performance Evaluation Harness☆78Updated 3 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 5 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆202Updated 6 months ago
- Transformer related optimization, including BERT, GPT☆59Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆270Updated 11 months ago
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆95Updated last year
- Latency and Memory Analysis of Transformer Models for Training and Inference☆421Updated last month
- GPTQ inference Triton kernel☆299Updated 2 years ago
- ☆95Updated 8 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆211Updated last year
- Applied AI experiments and examples for PyTorch☆270Updated this week
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆106Updated 2 months ago