Alternatives and similar repositories for GLMKD

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

• yegcjs / mixinglaws
  ☆109Updated 5 months ago
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆181Updated 10 months ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆167Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆197Updated 3 weeks ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated last year
• NormXU / Consistent-DynamicNTKRoPE
  An Experiment on Dynamic NTK Scaling RoPE
  ☆64Updated 2 years ago
• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆117Updated 6 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• SimiaoZuo / MoEBERT
  This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).
  ☆113Updated 3 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆266Updated last year
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆184Updated 6 months ago
• AI21Labs / Parallel-Context-Windows
  ☆105Updated 2 years ago
• hemingkx / SpecDec
  Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)
  ☆46Updated 2 years ago
• swtheing / PF-PPO-RLHF
  ☆34Updated last year
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆132Updated last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆37Updated 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
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆76Updated last year
• jzbjyb / ReAtt
  Retrieval as Attention
  ☆82Updated 3 years ago
• thunlp / MoEfication
  ☆142Updated last year
• QwenLM / online_merging_optimizers
  Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
  ☆80Updated last year
• FreedomIntelligence / OVM
  ☆70Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 6 months ago
• SparkJiao / llama-pipeline-parallel
  A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…
  ☆57Updated 2 years ago
• nick7nlp / Counting-Stars
  Counting-Stars (★)
  ☆83Updated last month
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆110Updated 10 months ago
• yifanzhang-pro / AutoMathText
  [ACL 2025 Findings] Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts (As Huggingface Daily Papers: …
  ☆89Updated last month
• KwanWaiChung / M4LE
  Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
  ☆23Updated last year