Alternatives and similar repositories for Super-Experts-Profilling

Users that are interested in Super-Experts-Profilling are comparing it to the libraries listed below

• KaihuaTang / Qwen-Tokenizer-Pruner
  Due to the huge vocaburary size (151,936) of Qwen models, the Embedding and LM Head weights are excessively heavy. Therefore, this projec…
  ☆27Updated last year
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆137Updated last year
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆129Updated this week
• Linking-ai / SCOPE
  (ACL 2025 oral) SCOPE: Optimizing KV Cache Compression in Long-context Generation
  ☆34Updated 3 months ago
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆36Updated last year
• mdy666 / Qwen-Native-Sparse-Attention
  qwen-nsa
  ☆74Updated 5 months ago
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆51Updated 10 months ago
• OpenSparseLLMs / Linear-MoE
  ☆119Updated 3 months ago
• FateScript / token_visualizer
  Token level visualization tools for large language models
  ☆88Updated 8 months ago
• Efficient-ML / Qwen3-Quantization
  ☆43Updated last week
• ZhenweiAn / Dynamic_MoE
  Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
  ☆63Updated last year
• RUCAIBox / EASYEP
  ☆22Updated 5 months ago
• JieShibo / MoLE
  [ICML 2025 Oral] Mixture of Lookup Experts
  ☆51Updated 4 months ago
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆92Updated 10 months ago
• yaof20 / Flash-RL
  Implementation for FP8/INT8 Rollout for RL training without performence drop.
  ☆207Updated last week
• mdy666 / mdy_triton
  ☆143Updated 2 months ago
• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆61Updated last year
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆101Updated last year
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆113Updated 5 months ago
• GAIR-NLP / MAYE
  Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
  ☆141Updated 5 months ago
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆89Updated 9 months ago
• Dao-AILab / grouped-latent-attention
  ☆126Updated 3 months ago
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆65Updated 6 months ago
• Jikai0Wang / OPT-Tree
  ☆28Updated 4 months ago
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆94Updated 3 months ago
• sii-research / siiRL
  siiRL: Shanghai Innovation Institute RL Framework for Advanced LLMs and Multi-Agent Systems
  ☆214Updated this week
• InternLM / OREAL
  Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
  ☆190Updated 6 months ago
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆123Updated 8 months ago
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆240Updated last month
• sramshetty / ShortGPT
  Unofficial implementations of block/layer-wise pruning methods for LLMs.
  ☆72Updated last year