Alternatives and similar repositories for BitFit:

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

• microsoft / AdaMix
  This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…
  ☆127Updated last year
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆190Updated 2 years ago
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆66Updated last year
• thunlp / MoEfication
  ☆118Updated 5 months ago
• rabeehk / compacter
  ☆127Updated 2 years ago
• AkariAsai / ATTEMPT
  This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)
  ☆100Updated 2 years ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆89Updated 3 years ago
• HKUNLP / icl-ceil
  [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.
  ☆95Updated last year
• mkshing / Prompt-Tuning
  Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
  ☆164Updated 3 years ago
• swj0419 / in-context-pretraining
  ☆47Updated 9 months ago
• princeton-nlp / CoFiPruning
  [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
  ☆192Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆38Updated last year
• nayeon7lee / FactualityPrompt
  ☆84Updated 2 years ago
• princeton-nlp / DinkyTrain
  Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
  ☆113Updated 2 years ago
• facebookresearch / MetaICL
  An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
  ☆258Updated last year
• kernelmachine / demix
  DEMix Layers for Modular Language Modeling
  ☆53Updated 3 years ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆59Updated 2 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆86Updated last year
• eric-mitchell / mend
  MEND: Fast Model Editing at Scale
  ☆240Updated last year
• aviclu / ffn-values
  ☆61Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆154Updated 6 months ago
• tau-nlp / scrolls
  The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".
  ☆70Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆66Updated 2 years ago
• txsun1997 / Black-Box-Tuning
  ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…
  ☆263Updated 2 years ago
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆74Updated last year
• mmatena / model_merging
  ☆63Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆242Updated 9 months ago
• vr25 / hallucination-foundation-model-survey
  A Survey of Hallucination in Large Foundation Models
  ☆50Updated 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…
  ☆123Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆128Updated last year