OpenSparseLLMs / LLaMA-MoE-v2Links
π LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
β89Updated 9 months ago
Alternatives and similar repositories for LLaMA-MoE-v2
Users that are interested in LLaMA-MoE-v2 are comparing it to the libraries listed below
Sorting:
- β100Updated this week
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoningβ67Updated 2 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuningβ85Updated 7 months ago
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shapingβ53Updated 3 months ago
- [EMNLP 2024 Findingsπ₯] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inβ¦β100Updated 10 months ago
- [EMNLP 2025] TokenSkip: Controllable Chain-of-Thought Compression in LLMsβ179Updated 2 months ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Modelsβ129Updated 2 months ago
- β46Updated 5 months ago
- β119Updated 3 months ago
- β27Updated last year
- [arXiv2505] Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chainsβ50Updated last month
- Model merging is a highly efficient approach for long-to-short reasoning.β82Updated 3 months ago
- ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-ofβ¦β46Updated 3 months ago
- Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*β107Updated 3 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibratiβ¦β42Updated last year
- This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"β35Updated last year
- CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Modelsβ150Updated 3 months ago
- [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concenβ¦β79Updated 2 months ago
- β122Updated 6 months ago
- β130Updated this week
- Open-Pandora: On-the-fly Control Video Generationβ34Updated 9 months ago
- Extrapolating RLVR to General Domains without Verifiersβ160Updated last month
- NoisyRollout: Reinforcing Visual Reasoning with Data Augmentationβ88Updated last month
- The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning"β143Updated 3 months ago
- [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.β81Updated 7 months ago
- β152Updated 3 months ago
- β116Updated last year
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluationsβ128Updated 5 months ago
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoningβ273Updated this week
- [arXiv 2025] Efficient Reasoning Models: A Surveyβ260Updated last week