LINs-lab / DynMoELinks
[ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
☆125Updated last month
Alternatives and similar repositories for DynMoE
Users that are interested in DynMoE are comparing it to the libraries listed below
Sorting:
- [arXiv 2025] Efficient Reasoning Models: A Survey☆258Updated this week
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆83Updated 6 months ago
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆87Updated 8 months ago
- One-shot Entropy Minimization☆178Updated 2 months ago
- [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…☆99Updated 9 months ago
- [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…☆77Updated 2 months ago
- ☆113Updated last year
- ☆161Updated 3 months ago
- Code release for VTW (AAAI 2025 Oral)☆48Updated last month
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆178Updated last year
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆154Updated 2 months ago
- ☆26Updated last year
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆173Updated last month
- ☆151Updated last year
- Efficient Mixture of Experts for LLM Paper List☆97Updated this week
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆220Updated 8 months ago
- ☆120Updated 5 months ago
- Official PyTorch implementation of the paper "dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching" (dLLM-Cache…☆140Updated 2 weeks ago
- [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…☆51Updated 8 months ago
- An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT☆108Updated 5 months ago
- "what, how, where, and how well? a survey on test-time scaling in large language models" repository☆62Updated this week
- ☆148Updated 11 months ago
- paper list, tutorial, and nano code snippet for Diffusion Large Language Models.☆107Updated 2 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆41Updated last year
- Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"☆60Updated last year
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆69Updated 7 months ago
- [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)☆116Updated last month
- Paper List of Inference/Test Time Scaling/Computing☆294Updated last month
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆91Updated 2 months ago
- ☆98Updated 4 months ago