Alternatives and similar repositories for Super-Experts-Profilling

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

• mdy666 / Qwen-Native-Sparse-Attention
  qwen-nsa
  ☆85Updated 2 months ago
• pprp / Awesome-Efficient-MoE
  Efficient Mixture of Experts for LLM Paper List
  ☆149Updated 2 months ago
• 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…
  ☆30Updated last year
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆137Updated last year
• sramshetty / ShortGPT
  Unofficial implementations of block/layer-wise pruning methods for LLMs.
  ☆73Updated last year
• smart-lty / ParallelSpeculativeDecoding
  [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length
  ☆137Updated last month
• lliai / D2MoE
  D^2-MoE: Delta Decompression for MoE-based LLMs Compression
  ☆72Updated 8 months ago
• OpenSparseLLMs / Linear-MoE
  ☆124Updated 6 months ago
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆52Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆98Updated last year
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆63Updated last year
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆252Updated 4 months ago
• Efficient-ML / Qwen3-Quantization
  ☆65Updated 3 months ago
• CASIA-LMC-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆63Updated last year
• NJUNLP / MCSD
  Multi-Candidate Speculative Decoding
  ☆38Updated last year
• InternLM / OREAL
  Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
  ☆190Updated 9 months ago
• Linking-ai / SCOPE
  (ACL 2025 oral) SCOPE: Optimizing KV Cache Compression in Long-context Generation
  ☆33Updated 6 months ago
• ClubieDong / QAQ-KVCacheQuantization
  QAQ: Quality Adaptive Quantization for LLM KV Cache
  ☆55Updated last year
• shreyansh26 / Speculative-Sampling
  Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind
  ☆107Updated last year
• Jikai0Wang / OPT-Tree
  ☆29Updated 6 months ago
• mdy666 / mdy_triton
  ☆149Updated 5 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 8 months ago
• JarvisPei / CMoE
  Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference
  ☆31Updated 9 months ago
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆36Updated last year
• Dominic789654 / LongGenBench
  Source code for the paper "LongGenBench: Long-context Generation Benchmark"
  ☆24Updated last year
• YouAreSpecialToMe / QST
  Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
  ☆49Updated last year
• RUCAIBox / EASYEP
  ☆24Updated 8 months ago
• Dao-AILab / grouped-latent-attention
  ☆132Updated 6 months ago
• dilab-zju / self-speculative-decoding
  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**
  ☆215Updated 10 months ago
• GAIR-NLP / MAYE
  Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
  ☆146Updated 8 months ago