Alternatives and similar repositories for llm_decoding

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

• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆61Updated 3 years ago
• adymaharana / d2pruning
  ☆35Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• zepingyu0512 / in-context-mechanism
  code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…
  ☆12Updated 8 months ago
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• Shwai-He / SparseAdapter
  Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"
  ☆18Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆79Updated last year
• chujiezheng / LLM-MCQ-Bias
  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
  ☆39Updated last month
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆95Updated last year
• mmatena / model_merging
  ☆70Updated 3 years ago
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆78Updated last year
• yfzhang114 / LLaVA-Align
  This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…
  ☆78Updated 4 months ago
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆76Updated 8 months ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆76Updated last year
• rabeehk / hyperformer
  ☆156Updated 3 years ago
• ylsung / Ladder-Side-Tuning
  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"
  ☆237Updated 2 years ago
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆34Updated last year
• Pbihao / SLM
  ☆28Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆86Updated 8 months ago
• haoyiq114 / VALOR
  Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)
  ☆16Updated last year
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆41Updated 2 weeks ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆86Updated 2 years ago
• tanganke / opcm
  ☆14Updated 5 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆66Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆77Updated 6 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated 2 years ago
• FreedomIntelligence / MLLM-Bench
  MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
  ☆70Updated 9 months ago
• arazd / ResidualPrompts
  Residual Prompt Tuning: a method for faster and better prompt tuning.
  ☆55Updated 2 years ago
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆17Updated last year