Alternatives and similar repositories for LM-RMT

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

• lucidrains / recurrent-memory-transformer-pytorch
  Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
  ☆410Updated 6 months ago
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆177Updated 10 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated last year
• tianjunz / HIR
  ☆159Updated 2 years ago
• haoliuhl / chain-of-hindsight
  Simple next-token-prediction for RLHF
  ☆228Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆252Updated last year
• huggingface / datablations
  Scaling Data-Constrained Language Models
  ☆337Updated 2 weeks ago
• deep-spin / infinite-former
  ☆65Updated 10 months ago
• imoneoi / multipack_sampler
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆194Updated 11 months ago
• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆132Updated last year
• Dahoas / reward-modeling
  ☆96Updated 2 years ago
• lucidrains / CoLT5-attention
  Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
  ☆230Updated 10 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆162Updated 2 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• thomfoster / minRLHF
  A (somewhat) minimal library for finetuning language models with PPO on human feedback.
  ☆85Updated 2 years ago
• lucidrains / simple-hierarchical-transformer
  Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
  ☆214Updated 10 months ago
• PiotrNawrot / dynamic-pooling
  Efficient Transformers with Dynamic Token Pooling
  ☆62Updated 2 years ago
• kyegomez / phi-1
  Plug in and play implementation of " Textbooks Are All You Need", ready for training, inference, and dataset generation
  ☆76Updated last year
• google-deepmind / randomized_positional_encodings
  Randomized Positional Encodings Boost Length Generalization of Transformers
  ☆81Updated last year
• facebookresearch / mega
  Sequence modeling with Mega.
  ☆296Updated 2 years ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆201Updated 9 months ago
• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆204Updated last year
• hadasah / btm
  ☆74Updated last year
• booydar / babilong
  BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
  ☆203Updated 2 months ago
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆69Updated 2 years ago
• facebookresearch / SemDeDup
  Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…
  ☆138Updated last year
• llm-random / llm-random
  ☆191Updated this week
• da03 / implicit_chain_of_thought
  ☆135Updated 8 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆219Updated last month