Alternatives and similar repositories for benchmark

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

• bentoml / llm-bench
  ☆56Updated last year
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆267Updated last month
• vllm-project / speculators
  A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
  ☆205Updated last week
• anyscale / llm-continuous-batching-benchmarks
  ☆125Updated last year
• vllm-project / dashboard
  vLLM performance dashboard
  ☆40Updated last year
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆379Updated last week
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆202Updated 7 months ago
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆83Updated 11 months ago
• mlc-ai / llm-perf-bench
  ☆120Updated last year
• IBM / text-generation-inference
  IBM development fork of https://github.com/huggingface/text-generation-inference
  ☆63Updated 4 months ago
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆38Updated 9 months ago
• neuralmagic / AutoFP8
  ☆206Updated 8 months ago
• apple / ml-recurrent-drafter
  ☆219Updated last year
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆151Updated 11 months ago
• open-lm-engine / lm-engine
  LM engine is a library for pretraining/finetuning LLMs
  ☆113Updated this week
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆127Updated 2 years ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆219Updated this week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆137Updated last year
• lapp0 / lm-inference-engines
  Comparison of Language Model Inference Engines
  ☆239Updated last year
• opendatahub-io / vllm-tgis-adapter
  vLLM adapter for a TGIS-compatible gRPC server.
  ☆50Updated this week
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆272Updated this week
• intel / llm-on-ray
  Pretrain, finetune and serve LLMs on Intel platforms with Ray
  ☆131Updated 4 months ago
• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆260Updated this week
• LLM360 / amber-data-prep
  Data preparation code for Amber 7B LLM
  ☆94Updated last year
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆327Updated 4 months ago
• EmbeddedLLM / vllm
  vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆93Updated this week
• run-ai / llmperf
  ☆61Updated last year
• hamelsmu / llama-inference
  experiments with inference on llama
  ☆103Updated last year
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆42Updated 2 years ago
• bentoml / BentoLMDeploy
  Self-host LLMs with LMDeploy and BentoML
  ☆22Updated last month