Alternatives and similar repositories for knnlm-limits

Users that are interested in knnlm-limits are comparing it to the libraries listed below

• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆23Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆30Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated 11 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated 3 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆47Updated 2 years ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆61Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• srush / LLM-Talk
  ☆53Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• hadasah / btm
  ☆76Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• allenai / bff
  ☆38Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆41Updated this week
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆63Updated 4 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• frankxu2004 / knnlm-why
  Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"
  ☆59Updated 2 years ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• XiangLi1999 / AutoBencher
  ☆32Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last month
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆19Updated 6 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆52Updated 9 months ago
• MadryLab / DsDm
  ☆51Updated last year
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆44Updated last year
• kaistAI / factual-knowledge-acquisition
  ☆23Updated 3 weeks ago
• RobertCsordas / moeut
  ☆91Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆31Updated 11 months ago