Alternatives and similar repositories for inference-benchmark

Users that are interested in inference-benchmark are comparing it to the libraries listed below

• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆32Updated 3 months ago
• ryantd / veloce
  WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
  ☆18Updated 3 years ago
• zhisbug / ray-scalable-ml-design
  Some microbenchmarks and design docs before commencement
  ☆12Updated 4 years ago
• npuichigo / blazing-fast-io-tutorial
  Blazing fast data loading with HuggingFace Dataset and Ray Data
  ☆16Updated last year
• withmartian / leaderboard-backend
  Open sourced backend for Martian's LLM Inference Provider Leaderboard
  ☆19Updated 11 months ago
• fw-ai / benchmark
  Benchmark suite for LLMs from Fireworks.ai
  ☆76Updated this week
• anyscale / llm-continuous-batching-benchmarks
  ☆120Updated last year
• vllm-project / vllm-nccl
  Manages vllm-nccl dependency
  ☆17Updated last year
• hpcaitech / CachedEmbedding
  A memory efficient DLRM training solution using ColossalAI
  ☆105Updated 2 years ago
• bentoml / simple_di
  Simple dependency injection framework for Python
  ☆21Updated last year
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆43Updated 7 months ago
• microsoft / batch-inference
  Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
  ☆101Updated 11 months ago
• opendatahub-io / vllm-tgis-adapter
  vLLM adapter for a TGIS-compatible gRPC server.
  ☆33Updated this week
• UmerHA / triton_util
  Make triton easier
  ☆47Updated last year
• bentoml / sentence-embedding-bento
  Sentence Embedding as a Service
  ☆15Updated last month
• bentoml / llm-bench
  ☆55Updated 8 months ago
• simon-mo / vLLM-Benchmark
  ☆30Updated 3 months ago
• Snowflake-Labs / vllm
  ☆15Updated 4 months ago
• vllm-project / recipes
  Common recipes to run vLLM
  ☆68Updated last week
• xlang-ai / batch-prompting
  [EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.
  ☆75Updated last year
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆66Updated 7 months ago
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆56Updated last week
• facebookresearch / fastgen
  Simple high-throughput inference library
  ☆125Updated 2 months ago
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 4 months ago
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆157Updated 2 weeks ago
• coreweave / ml-containers
  ☆38Updated this week
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 4 years ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆71Updated last year
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆158Updated last month
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated last year