Alternatives and similar repositories for llm-distillation

Users that are interested in llm-distillation are comparing it to the libraries listed below

• Nicolas-BZRD / llm-recipes
  ☆29Updated last year
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆26Updated 10 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆57Updated 9 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆22Updated 10 months ago
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆60Updated 9 months ago
• hadasah / btm
  ☆75Updated last year
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆42Updated last year
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆89Updated last year
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆23Updated 2 months ago
• allenai / bff
  ☆38Updated last year
• Zayne-sprague / MuSR
  ☆45Updated 11 months ago
• tau-nlp / scrolls
  The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".
  ☆70Updated last year
• nkandpa2 / long_tail_knowledge
  Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"
  ☆77Updated 2 years ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆52Updated 2 years ago
• anadim / the-little-retrieval-test
  ☆34Updated 2 years ago
• princeton-nlp / HELMET
  The HELMET Benchmark
  ☆156Updated 3 months ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated last year
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆105Updated 4 months ago
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆77Updated 7 months ago
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆78Updated last year
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆51Updated last year
• jongwooko / NASH-Pruning-Official
  Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …
  ☆16Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆46Updated last year
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• swj0419 / in-context-pretraining
  ☆52Updated last year
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆52Updated 5 months ago
• ielab / PromptReps
  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
  ☆50Updated 3 weeks ago
• TIGER-AI-Lab / MAmmoTH2
  Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]
  ☆145Updated 8 months ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆71Updated 8 months ago