Alternatives and similar repositories for based

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

• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆246Updated 3 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆135Updated last year
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆218Updated last year
• llm-random / llm-random
  ☆205Updated last week
• epfml / dynamic-sparse-flash-attention
  ☆150Updated 2 years ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆249Updated 10 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆157Updated 8 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆257Updated 2 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆180Updated 5 months ago
• berlino / seq_icl
  ☆53Updated last year
• mgmalek / efficient_cross_entropy
  ☆121Updated last year
• imoneoi / multipack
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆202Updated last year
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆128Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆133Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated 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 …
  ☆60Updated last year
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆121Updated last year
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆193Updated last year
• FasterDecoding / BitDelta
  ☆204Updated last year
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆74Updated last year
• HanGuo97 / lq-lora
  ☆128Updated last year
• proger / hippogriff
  Griffin MQA + Hawk Linear RNN Hybrid
  ☆89Updated last year
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆194Updated last year
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆181Updated 6 months ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated last month
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆52Updated last year