snowflakedb / ArcticInferenceLinks
☆159Updated 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)☆119Updated this week
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 6 months ago
- KV cache compression for high-throughput LLM inference☆131Updated 4 months ago
- LLM Serving Performance Evaluation Harness☆78Updated 4 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆161Updated 3 weeks ago
- Efficient LLM Inference over Long Sequences☆378Updated 2 weeks ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆79Updated 9 months ago
- Code for data-aware compression of DeepSeek models☆34Updated 2 weeks ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆106Updated 3 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆310Updated 11 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆113Updated last month
- ☆256Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆214Updated last year
- Perplexity GPU Kernels☆375Updated 2 weeks ago
- ☆194Updated last month
- ☆213Updated 5 months ago
- ☆47Updated 11 months ago
- ☆86Updated 2 months ago
- A low-latency & high-throughput serving engine for LLMs☆380Updated 3 weeks ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆198Updated last week
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆213Updated 7 months ago
- vLLM performance dashboard☆30Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆204Updated this week
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆163Updated 11 months ago
- A minimal implementation of vllm.☆43Updated 10 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆303Updated 5 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆396Updated 3 weeks ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆210Updated 10 months ago
- Fast low-bit matmul kernels in Triton