Alternatives and similar repositories for IntLLaMA:

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

• megvii-research / basedet
  An object detection codebase based on MegEngine.
  ☆28Updated 2 years ago
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆45Updated 4 months ago
• yuzhenmao / IceFormer
  Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).
  ☆22Updated 9 months ago
• mit-han-lab / patch_conv
  Patch convolution to avoid large GPU memory usage of Conv2D
  ☆84Updated 2 months ago
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆35Updated last year
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆43Updated 6 months ago
• octoml / deformable-attention-kernel
  TVMScript kernel for deformable attention
  ☆25Updated 3 years ago
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆26Updated last year
• BBuf / flash-rwkv
  ☆30Updated 9 months ago
• xdit-project / DiTCacheAnalysis
  An auxiliary project analysis of the characteristics of KV in DiT Attention.
  ☆27Updated 3 months ago
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆44Updated last month
• ThisisBillhe / torch_quantizer
  torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.
  ☆22Updated 11 months ago
• L1aoXingyu / llm-infer-bench
  ☆11Updated last year
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆14Updated last year
• HubHop / vit-attention-benchmark
  Benchmarking Attention Mechanism in Vision Transformers.
  ☆17Updated 2 years ago
• ilur98 / DGQ
  Official Code For Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
  ☆14Updated last year
• NVlabs / SMCP
  ☆20Updated 2 years ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆19Updated 2 years ago
• hikvision-research / Unified-Normalization
  # Unified Normalization (ACM MM'22) By Qiming Yang, Kai Zhang, Chaoxiang Lan, Zhi Yang, Zheyang Li, Wenming Tan, Jun Xiao, and Shiliang P…
  ☆34Updated 2 years ago
• snap-research / efficient-nn-tutorial
  Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments
  ☆12Updated last year
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆39Updated last year
• TiledTensor / TiledBench
  Benchmark tests supporting the TiledCUDA library.
  ☆15Updated 4 months ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 7 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆33Updated 5 months ago
• Vchitect / LiteGen
  A light-weight and high-efficient training framework for accelerating diffusion tasks.
  ☆46Updated 6 months ago
• LiqunMa / FBI-LLM
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆47Updated 8 months ago
• habanero-lab / APPy
  APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…
  ☆23Updated last month
• RangiLyu / llama.mmengine
  Training LLaMA language model with MMEngine! It supports LoRA fine-tuning!
  ☆40Updated last year
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆66Updated 9 months ago