Alternatives and similar repositories for llm-continuous-batching-benchmarks

Users that are interested in llm-continuous-batching-benchmarks are comparing it to the libraries listed below

• neuralmagic / AutoFP8
  ☆195Updated 3 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆214Updated 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…
  ☆190Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆208Updated last week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆305Updated 2 years ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 11 months ago
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆201Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆261Updated last month
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 4 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆319Updated last year
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆446Updated 4 months ago
• stanford-futuredata / stk
  ☆110Updated 11 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆124Updated 8 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆135Updated last month
• InternLM / turbomind
  ☆92Updated 4 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆290Updated 2 months ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆120Updated 8 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆418Updated 3 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆277Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆109Updated 2 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆217Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆233Updated 8 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆372Updated last year
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆104Updated 4 months ago
• FasterDecoding / REST
  REST: Retrieval-Based Speculative Decoding, NAACL 2024
  ☆207Updated 8 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆212Updated last year
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆51Updated last year
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆76Updated last year
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated 10 months ago
• microsoft / batch-inference
  Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
  ☆102Updated last year