Alternatives and similar repositories for vllmini

Users that are interested in vllmini are comparing it to the libraries listed below

• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆125Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆323Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 5 months ago
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆252Updated 2 weeks ago
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆460Updated 6 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆221Updated 2 years ago
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆431Updated 2 weeks ago
• stanford-futuredata / stk
  ☆112Updated last year
• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆222Updated last week
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆216Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆215Updated last week
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆238Updated 11 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆263Updated last month
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆246Updated 3 weeks ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆169Updated last year
• anyscale / llm-continuous-batching-benchmarks
  ☆121Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆301Updated 2 months ago
• fzyzcjy / torch_utils
  Utility scripts for PyTorch (e.g. Memory profiler that understands more low-level allocations such as NCCL)
  ☆62Updated last month
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆130Updated 10 months ago
• fzyzcjy / torch_memory_saver
  Allow torch tensor memory to be released and resumed later
  ☆157Updated last week
• InternLM / turbomind
  ☆97Updated 7 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated last week
• sgl-project / sglang-jax
  JAX backend for SGL
  ☆101Updated this week
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆432Updated 5 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆329Updated last month
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆433Updated 5 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆266Updated 3 months ago
• FasterDecoding / SnapKV
  ☆285Updated 3 months ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆114Updated 2 weeks ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 7 months ago