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.
  ☆123Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆124Updated 4 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆261Updated last month
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆82Updated last year
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆215Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆320Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆168Updated last year
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆221Updated 2 years ago
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆118Updated 5 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆121Updated last year
• stanford-futuredata / stk
  ☆113Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆157Updated 6 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆242Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆244Updated 3 months ago
• FasterDecoding / SnapKV
  ☆282Updated 3 months ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆102Updated 3 weeks ago
• fzyzcjy / torch_utils
  Utility scripts for PyTorch (e.g. Memory profiler that understands more low-level allocations such as NCCL)
  ☆55Updated 3 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆213Updated last week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆128Updated 10 months ago
• InternLM / turbomind
  ☆95Updated 6 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated last week
• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆215Updated this week
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆458Updated 5 months ago
• triton-lang / kernels
  ☆90Updated 11 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆151Updated this week
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆326Updated 2 weeks ago
• fzyzcjy / torch_memory_saver
  Allow torch tensor memory to be released and resumed later
  ☆144Updated this week
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆142Updated 7 months ago