project-etalon / etalonLinks
LLM Serving Performance Evaluation Harness
☆78Updated 3 months ago
Alternatives and similar repositories for etalon
Users that are interested in etalon are comparing it to the libraries listed below
Sorting:
- Stateful LLM Serving☆70Updated 2 months ago
- ☆62Updated 11 months ago
- ☆46Updated 11 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆157Updated 8 months ago
- ☆99Updated 6 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 6 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆121Updated last year
- ☆105Updated 7 months ago
- ☆76Updated last month
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆86Updated 2 years ago
- A low-latency & high-throughput serving engine for LLMs☆370Updated this week
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆211Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 8 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆48Updated 7 months ago
- A minimal implementation of vllm.☆41Updated 10 months ago
- Modular and structured prompt caching for low-latency LLM inference☆94Updated 6 months ago
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆39Updated last month
- A resilient distributed training framework☆95Updated last year
- ☆83Updated 3 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆305Updated 11 months ago
- ☆99Updated this week
- ☆115Updated 5 months ago
- A lightweight design for computation-communication overlap.☆132Updated 3 weeks ago
- High performance Transformer implementation in C++.☆124Updated 4 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆192Updated 2 weeks ago
- ☆66Updated 7 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated last month
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆57Updated 11 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆61Updated 11 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆211Updated 6 months ago