Alternatives and similar repositories for optimum-benchmark

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

• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated last year
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆202Updated 4 months ago
• huggingface / optimum-habana
  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
  ☆199Updated this week
• neuralmagic / AutoFP8
  ☆205Updated 6 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆946Updated last year
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆349Updated last year
• triton-inference-server / vllm_backend
  ☆309Updated last week
• dropbox / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆889Updated 2 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆216Updated this week
• run-ai / llmperf
  ☆57Updated last year
• intel / auto-round
  Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.
  ☆701Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆313Updated 2 years ago
• lapp0 / lm-inference-engines
  Comparison of Language Model Inference Engines
  ☆234Updated 10 months ago
• huggingface / inference-benchmarker
  Inference server benchmarking tool
  ☆128Updated last month
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆180Updated 7 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆121Updated last year
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆912Updated 2 weeks ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆704Updated last year
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆447Updated 9 months ago
• npuichigo / openai_trtllm
  OpenAI compatible API for TensorRT LLM triton backend
  ☆216Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆390Updated last year
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆299Updated this week
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆187Updated last week
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆385Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆302Updated 2 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆392Updated 2 weeks ago
• NVIDIA / NeMo-Framework-Launcher
  Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.
  ☆508Updated 6 months ago
• fw-ai / benchmark
  Benchmark suite for LLMs from Fireworks.ai
  ☆83Updated last week
• huggingface / optimum-intel
  🤗 Optimum Intel: Accelerate inference with Intel optimization tools
  ☆505Updated this week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆680Updated this week