Alternatives and similar repositories for Edge-Pruning:

Users that are interested in Edge-Pruning are comparing it to the libraries listed below

• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 6 months ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆50Updated 2 weeks ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆49Updated 2 months ago
• uservan / ThinkPO
  ☆20Updated last month
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆43Updated 8 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆82Updated 6 months ago
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆25Updated 4 months ago
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆25Updated 7 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆36Updated last year
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆46Updated last month
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆60Updated 3 months ago
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆39Updated 11 months ago
• jiahai-feng / binding-iclr
  ☆13Updated last year
• googleinterns / localizing-paragraph-memorization
  ☆14Updated last year
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 7 months ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆68Updated last year
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆35Updated 5 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• activatedgeek / calibration-tuning
  ☆50Updated this week
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆42Updated 5 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆50Updated 2 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆34Updated 10 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆47Updated last year
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆27Updated 6 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆32Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆36Updated 10 months ago
• gregorbachmann / Next-Token-Failures
  ☆82Updated last year
• HKUNLP / critic-rl
  Code for Paper: Teaching Language Models to Critique via Reinforcement Learning
  ☆90Updated this week