Alternatives and similar repositories for search-llm

Users that are interested in search-llm are comparing it to the libraries listed below

• pprp / CVPR2022-NAS-competition-Track1-3th-solution
  Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
  ☆22Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated last month
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆17Updated last year
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year
• ModelTC / L2_Compression
  ☆13Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆34Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated 2 years ago
• ylsung / ECoFLaP
  Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)
  ☆20Updated last year
• zysxmu / DFSQ
  super-resolution; post-training quantization; model compression
  ☆13Updated last year
• lliai / DisWOT-CVPR2023
  ☆28Updated last year
• NVlabs / SMCP
  ☆22Updated 3 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆28Updated last year
• chenbong / PSS-Net
  ☆17Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆30Updated last year
• zysxmu / FDDA
  Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization
  ☆15Updated 3 years ago
• imagination-research / LCSC
  [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
  ☆16Updated 8 months ago
• OSVAI / NORM
  The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…
  ☆20Updated 2 years ago
• cmd2001 / KVTuner
  KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
  ☆23Updated 5 months ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆55Updated 3 months ago
• pprp / STBLLM
  [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
  ☆15Updated 4 months ago
• lmbxmu / SuperViT
  Official Pytorch implementation of Super Vision Transformer (IJCV)
  ☆43Updated 2 years ago
• Hao840 / vanillaKD
  PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781
  ☆76Updated last year
• megvii-research / TPS-CVPR2023
  ☆47Updated 2 years ago
• wzhuang-xmu / LoSA
  [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".
  ☆23Updated 7 months ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated 2 years ago
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆94Updated 11 months ago
• HubHop / vit-attention-benchmark
  Benchmarking Attention Mechanism in Vision Transformers.
  ☆18Updated 3 years ago
• zysxmu / IntraQ
  Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…
  ☆33Updated 3 years ago
• decemberzhou / TF_TAS
  ☆37Updated 3 years ago