Alternatives and similar repositories for recipes

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

• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆180Updated this week
• InternLM / turbomind
  ☆92Updated 4 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆123Updated 8 months ago
• ByteDance-Seed / ByteCheckpoint
  ByteCheckpoint: An Unified Checkpointing Library for LFMs
  ☆229Updated 3 weeks ago
• anyscale / llm-continuous-batching-benchmarks
  ☆120Updated last year
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆198Updated this week
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆79Updated 5 months ago
• vllm-project / dashboard
  vLLM performance dashboard
  ☆32Updated last year
• neuralmagic / AutoFP8
  ☆195Updated 2 months ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆253Updated this week
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆318Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆106Updated 2 months ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆134Updated 5 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆260Updated 2 weeks ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆212Updated 11 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆206Updated this week
• vllm-project / flash-attention
  Fast and memory-efficient exact attention
  ☆82Updated this week
• Dao-AILab / grouped-latent-attention
  ☆123Updated 2 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆193Updated this week
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆124Updated 2 months ago
• NVIDIA / Megatron-Energon
  Megatron's multi-modal data loader
  ☆230Updated last week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆289Updated 2 months ago
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 4 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆141Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆139Updated 3 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆365Updated 11 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year
• InternLM / Awesome-LLM-Training-System
  ☆42Updated 11 months ago
• EfficientMoE / MoE-Infinity
  PyTorch library for cost-effective, fast and easy serving of MoE models.
  ☆215Updated 3 weeks ago