tanganke / weight-ensembling_MoE

Related projects ⓘ

Alternatives and complementary repositories for weight-ensembling_MoE

• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆52Updated 3 weeks ago
• FeiyuZhang98 / IncreLoRA
  ☆29Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆31Updated 6 months ago
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆33Updated last year
• hartvigsen-group / composable-interventions
  ☆22Updated this week
• wang-kee / LiNeS
  ☆22Updated 2 weeks ago
• waltonfuture / Diff-eRank
  [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
  ☆27Updated last week
• uscnlp-lime / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆32Updated last month
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆30Updated last month
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆30Updated 3 months ago
• prateeky2806 / ties-merging
  ☆153Updated 9 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆83Updated 2 months ago
• kyegomez / EAOT
  The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"
  ☆19Updated 8 months ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆15Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆32Updated last month
• EthanLeo-LYX / LLMQA
  ☆8Updated 6 months ago
• dinobby / MAGDi
  The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…
  ☆30Updated 9 months ago
• peterljq / Parsimonious-Concept-Engineering
  Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆26Updated 2 weeks ago
• nzjin / awesome_moe
  The collections of MOE (Mixture Of Expert) papers, code and tools, etc.
  ☆11Updated 8 months ago
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆25Updated 3 months ago
• nverma1 / merging-text-transformers
  Code for "Merging Text Transformers from Different Initializations"
  ☆19Updated 3 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆33Updated 10 months ago
• zzwjames / FailureLLMUnlearning
  ☆22Updated 3 weeks ago
• yumeng5 / FewGen
  [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
  ☆39Updated last year
• adymaharana / d2pruning
  ☆31Updated last year
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆63Updated last month
• princeton-nlp / InstructEval
  [NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.
  ☆23Updated last year
• r-three / smear
  ☆27Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆38Updated last year