Alternatives and similar repositories for profiler-workshop

Users that are interested in profiler-workshop are comparing it to the libraries listed below

• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆336Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆237Updated 2 years ago
• FMInference / DejaVu
  ☆352Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆322Updated 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.
  ☆219Updated last week
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆404Updated last year
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆478Updated 9 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆356Updated 2 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆222Updated last year
• anyscale / llm-continuous-batching-benchmarks
  ☆125Updated last year
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆67Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆315Updated 5 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆299Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆143Updated 8 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆176Updated last year
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆281Updated 3 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆292Updated 5 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆220Updated 2 years ago
• FasterDecoding / SnapKV
  ☆303Updated 7 months ago
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆155Updated 11 months ago
• kssteven418 / BigLittleDecoder
  [NeurIPS'23] Speculative Decoding with Big Little Decoder
  ☆96Updated 2 years ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆161Updated 2 weeks ago
• haochengxi / Train_Transformers_with_INT4
  ☆157Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆276Updated 6 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆178Updated 2 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆226Updated last year
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆233Updated 2 years ago
• FasterDecoding / TEAL
  ☆158Updated 11 months ago
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆372Updated 11 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆427Updated last week