Alternatives and similar repositories for tinychat-tutorial

Users that are interested in tinychat-tutorial are comparing it to the libraries listed below

• INT-FlashAttention2024 / INT-FlashAttention
  ☆82Updated 7 months ago
• ByteDance-Seed / cudaLLM
  ☆106Updated last month
• mit-han-lab / parallel-computing-tutorial
  ☆172Updated 2 years ago
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆43Updated 3 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 8 months ago
• microsoft / AttentionEngine
  ☆96Updated 4 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆82Updated this week
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated 9 months 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.
  ☆217Updated last month
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆92Updated last week
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆95Updated 9 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆233Updated 2 weeks ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆31Updated 10 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆112Updated 4 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆119Updated 3 months ago
• flashinfer-ai / cutlass-viz
  ☆64Updated 4 months ago
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆162Updated 2 months ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆57Updated 5 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆97Updated 2 months ago
• thu-ml / Jetfire-INT8Training
  ☆52Updated last year
• Qualcomm-AI-research / gptvq
  ☆33Updated last year
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆110Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆114Updated last year
• LeiWang1999 / AutoGPTQ.tvm
  GPTQ inference TVM kernel
  ☆40Updated last year
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆122Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆115Updated 2 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆148Updated 3 months ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated 11 months ago
• DD-DuDa / BitDecoding
  A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆59Updated 3 weeks ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆70Updated 4 months ago