Alternatives and similar repositories for TransnormerLLM:

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

• bojone / rerope
  Rectified Rotary Position Embeddings
  ☆360Updated 10 months ago
• OpenNLPLab / lightning-attention
  Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
  ☆272Updated last month
• yxli2123 / LoftQ
  ☆220Updated 9 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆129Updated last year
• for-ai / parameter-efficient-moe
  ☆253Updated last year
• haochengxi / Train_Transformers_with_INT4
  ☆145Updated last year
• transformer-vq / transformer_vq
  ☆189Updated last year
• kyegomez / AttentionIsOFFByOne
  Implementation of "Attention Is Off By One" by Evan Miller
  ☆190Updated last year
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆121Updated 2 months ago
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆125Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆223Updated last month
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆141Updated 6 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆154Updated 9 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆597Updated last year
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆619Updated 8 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆393Updated 5 months ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆150Updated 3 months ago
• Strivin0311 / long-llms-learning
  A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
  ☆260Updated 7 months ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆244Updated 11 months ago
• booydar / LM-RMT
  Recurrent Memory Transformer
  ☆149Updated last year
• lucidrains / st-moe-pytorch
  Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
  ☆321Updated 9 months ago
• TencentARC / LLaMA-Pro
  [ACL 2024] Progressive LLaMA with Block Expansion.
  ☆499Updated 10 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆212Updated last year
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆99Updated 9 months ago
• llm-random / llm-random
  ☆182Updated this week
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆129Updated 9 months ago
• dingo-actual / infini-transformer
  PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…
  ☆287Updated 10 months ago
• lucidrains / recurrent-memory-transformer-pytorch
  Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
  ☆407Updated 2 months ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆448Updated 11 months ago
• Outsider565 / LoRA-GA
  ☆182Updated 5 months ago