snowflakedb / ArcticInferenceLinks
ArcticInference: vLLM plugin for high-throughput, low-latency inference
☆215Updated this week
Alternatives and similar repositories for ArcticInference
Users that are interested in ArcticInference are comparing it to the libraries listed below
Sorting:
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆201Updated this week
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- Common recipes to run vLLM☆110Updated this week
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆190Updated this week
- Efficient LLM Inference over Long Sequences☆389Updated 2 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆124Updated 8 months ago
- LLM KV cache compression made easy☆586Updated this week
- LLM Serving Performance Evaluation Harness☆79Updated 6 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆153Updated this week
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆226Updated 9 months ago
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆231Updated 8 months ago
- Code for data-aware compression of DeepSeek models☆44Updated 2 months ago
- Perplexity GPU Kernels☆444Updated 2 weeks ago
- ☆217Updated 7 months ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆325Updated this week
- Fast low-bit matmul kernels in Triton☆349Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 10 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆408Updated 2 months ago
- A low-latency & high-throughput serving engine for LLMs☆405Updated 2 months ago
- A throughput-oriented high-performance serving framework for LLMs☆872Updated 2 weeks ago
- Applied AI experiments and examples for PyTorch☆291Updated this week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆208Updated last week
- ☆195Updated 3 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆177Updated 2 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆221Updated last month
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- vLLM performance dashboard☆33Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆735Updated 5 months ago
- Materials for learning SGLang☆530Updated last month