project-etalon / etalonLinks
LLM Serving Performance Evaluation Harness
☆79Updated 8 months ago
Alternatives and similar repositories for etalon
Users that are interested in etalon are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- Stateful LLM Serving☆87Updated 7 months ago
- ☆74Updated last week
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆188Updated last year
- ☆78Updated 6 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆130Updated 10 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆129Updated last year
- ☆136Updated last year
- Modular and structured prompt caching for low-latency LLM inference☆101Updated 11 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆92Updated 2 years ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆252Updated last week
- A low-latency & high-throughput serving engine for LLMs☆431Updated last week
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆60Updated 11 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆238Updated 11 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆221Updated 2 years ago
- ☆124Updated 11 months ago
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆220Updated last week
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆283Updated this week
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆169Updated last year
- ☆121Updated last year
- ☆87Updated 3 years ago
- ☆97Updated 7 months ago
- KV cache compression for high-throughput LLM inference☆142Updated 8 months ago
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆75Updated 4 months ago
- A framework for generating realistic LLM serving workloads☆71Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- A large-scale simulation framework for LLM inference☆459Updated 3 months ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆48Updated 2 months ago
- ☆63Updated last month
- Efficient Compute-Communication Overlap for Distributed LLM Inference☆61Updated 3 weeks ago