anyscale / llm-continuous-batching-benchmarksLinks
☆121Updated 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:
- ☆205Updated 5 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆216Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆215Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- GPTQ inference Triton kernel☆310Updated 2 years ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 3 months ago
- ☆112Updated last year
- ☆72Updated 6 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆459Updated 6 months ago
- Applied AI experiments and examples for PyTorch☆299Updated 2 months ago
- ☆96Updated 6 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆83Updated last year
- Easy and Efficient Quantization for Transformers☆202Updated 3 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆221Updated 2 years ago
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆220Updated last week
- An easy-to-use package for implementing SmoothQuant for LLMs☆107Updated 6 months ago
- A minimal implementation of vllm.☆58Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆124Updated 4 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆130Updated 10 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆154Updated last week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆389Updated last year
- ☆120Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆282Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆217Updated last year
- ☆341Updated last year
- Zero Bubble Pipeline Parallelism☆432Updated 5 months ago
- A low-latency & high-throughput serving engine for LLMs☆431Updated last week
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆210Updated last month
- Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.☆111Updated last week
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆317Updated 7 months ago