Alternatives and similar repositories for Sparse-IFT

Users that are interested in Sparse-IFT are comparing it to the libraries listed below

• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆128Updated 10 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆222Updated last month
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆127Updated 8 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆129Updated 9 months ago
• insuhan / hyper-attn
  ☆81Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆61Updated 10 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆144Updated last year
• wdlctc / mini-s
  ☆53Updated 10 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆70Updated last year
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year
• google-deepmind / asyncdiloco
  ☆46Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆156Updated 2 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆82Updated 3 years ago
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆96Updated last month
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆87Updated last year
• HazyResearch / train-tk
  train with kittens!
  ☆62Updated 10 months ago
• Jaykef / Triton-nanoGPT
  Custom triton kernels for training Karpathy's nanoGPT.
  ☆19Updated 10 months ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆103Updated 3 months ago
• proger / hippogriff
  Griffin MQA + Hawk Linear RNN Hybrid
  ☆88Updated last year
• lessw2020 / transformer_central
  Various transformers for FSDP research
  ☆38Updated 2 years ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆245Updated 7 months ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆95Updated 2 years ago
• thecharlieblake / lovely-llama
  An implementation of the Llama architecture, to instruct and delight
  ☆21Updated 3 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆85Updated last month
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆127Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆51Updated 7 months ago
• HanGuo97 / lq-lora
  ☆127Updated last year