anyscale / llm-continuous-batching-benchmarksLinks
☆122Updated 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:
- ☆206Updated 7 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆219Updated last year
- ☆71Updated 8 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆216Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 5 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆89Updated last year
- ☆115Updated last year
- A minimal implementation of vllm.☆63Updated last year
- GPTQ inference Triton kernel☆317Updated 2 years ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆467Updated 8 months ago
- Easy and Efficient Quantization for Transformers☆203Updated 5 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆249Updated last week
- LLM Serving Performance Evaluation Harness☆82Updated 9 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆230Updated 2 years ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆123Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆395Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆135Updated 6 months ago
- Applied AI experiments and examples for PyTorch☆311Updated 4 months ago
- ☆97Updated 8 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆212Updated 3 months ago
- ☆120Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆174Updated this week
- A low-latency & high-throughput serving engine for LLMs☆456Updated 2 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 8 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆57Updated 2 years ago
- Triton-based implementation of Sparse Mixture of Experts.☆257Updated 2 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆172Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year