Alternatives and similar repositories for RWKV-CUDA

Users that are interested in RWKV-CUDA are comparing it to the libraries listed below

• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆194Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated 2 years ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆217Updated last year
• haochengxi / Train_Transformers_with_INT4
  ☆156Updated 2 years ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆311Updated 2 years ago
• kyegomez / FlashAttention20
  Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
  ☆108Updated 2 years ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆226Updated 2 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆268Updated 3 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆112Updated last year
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆133Updated 2 years ago
• OpenNLPLab / lightning-attention
  Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
  ☆330Updated 8 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆283Updated last year
• 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
• tpoisonooo / llama.onnx
  LLaMa/RWKV onnx models, quantization and testcase
  ☆367Updated 2 years ago
• shreyansh26 / FlashAttention-PyTorch
  Implementation of FlashAttention in PyTorch
  ☆172Updated 9 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆120Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆317Updated 7 months ago
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆132Updated 2 years ago
• InternLM / turbomind
  ☆97Updated 7 months ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆144Updated 2 months ago
• casper-hansen / AutoAWQ_kernels
  ☆78Updated 11 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆323Updated last year
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆41Updated 8 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆220Updated 2 years ago
• OpenPPL / ppl.llm.serving
  ☆129Updated 10 months ago
• mit-han-lab / tinychat-tutorial
  ☆77Updated 11 months ago
• daquexian / faster-rwkv
  ☆124Updated last year
• microsoft / AttentionEngine
  ☆102Updated 5 months ago
• bytedance / ByteTransformer
  optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
  ☆479Updated last year
• megvii-research / Sparsebit
  A model compression and acceleration toolbox based on pytorch.
  ☆331Updated last year