Alternatives and similar repositories for LM-RMT

Users that are interested in LM-RMT are comparing it to the libraries listed below

• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆137Updated last year
• deep-spin / infinite-former
  ☆67Updated last year
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆179Updated last year
• lucidrains / recurrent-memory-transformer-pytorch
  Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
  ☆422Updated last year
• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆136Updated 2 years ago
• huggingface / datablations
  Scaling Data-Constrained Language Models
  ☆342Updated 7 months ago
• lucidrains / CoLT5-attention
  Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
  ☆231Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆269Updated last year
• PiotrNawrot / dynamic-pooling
  Efficient Transformers with Dynamic Token Pooling
  ☆67Updated 2 years ago
• imoneoi / multipack
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆204Updated last year
• Dahoas / reward-modeling
  ☆98Updated 2 years ago
• tianjunz / HIR
  ☆158Updated 2 years ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆252Updated 3 weeks ago
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆82Updated last year
• haoliuhl / chain-of-hindsight
  Simple next-token-prediction for RLHF
  ☆228Updated 2 years ago
• facebookresearch / mega
  Sequence modeling with Mega.
  ☆303Updated 3 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated 4 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆218Updated last year
• thomfoster / minRLHF
  A (somewhat) minimal library for finetuning language models with PPO on human feedback.
  ☆90Updated 3 years ago
• HazyResearch / TART
  TART: A plug-and-play Transformer module for task-agnostic reasoning
  ☆202Updated 2 years ago
• google-research / meliad
  ☆259Updated 8 months ago
• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆205Updated last year
• srush / do-we-need-attention
  ☆167Updated 2 years ago
• lucidrains / simple-hierarchical-transformer
  Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
  ☆224Updated last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• facebookresearch / SemDeDup
  Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…
  ☆151Updated 2 years ago
• Cohere-Labs-Community / parameter-efficient-moe
  ☆273Updated 2 years ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆247Updated 8 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago