Alternatives and similar repositories for lolcats

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

• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆129Updated 9 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 3 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆200Updated last year
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆184Updated 7 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆188Updated 9 months ago
• FasterDecoding / BitDelta
  ☆202Updated 9 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆217Updated last year
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆109Updated 4 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆153Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆161Updated 5 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…
  ☆145Updated last year
• wdlctc / mini-s
  ☆53Updated 10 months ago
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆229Updated 4 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆155Updated 10 months ago
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆128Updated 11 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆224Updated 2 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆238Updated 2 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆128Updated 8 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆69Updated 6 months ago
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆155Updated 5 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆181Updated 2 months ago
• BlinkDL / modded-nanogpt-rwkv
  RWKV-7: Surpassing GPT
  ☆94Updated 9 months ago
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆403Updated 9 months ago
• llm-random / llm-random
  ☆195Updated last week
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆343Updated 9 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆91Updated 2 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆271Updated this week
• Cornell-RelaxML / qtip
  ☆150Updated 2 months ago