Alternatives and similar repositories for TransformerCompression

Users that are interested in TransformerCompression are comparing it to the libraries listed below

• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆143Updated last year
• yxli2123 / LoftQ
  ☆235Updated last year
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆713Updated last year
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆885Updated last month
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆362Updated 2 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆393Updated last year
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆838Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆635Updated last year
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆390Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆397Updated last year
• Cornell-RelaxML / quip-sharp
  ☆576Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆322Updated 10 months ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆863Updated last year
• Macaronlin / LLaMA3-Quantization
  A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
  ☆198Updated last year
• OpenGVLab / EfficientQAT
  [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆323Updated last month
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆472Updated last year
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆296Updated last year
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆346Updated last month
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆367Updated 11 months ago
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆229Updated last year
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆279Updated 2 years ago
• Vahe1994 / SpQR
  ☆551Updated last year
• horseee / LLM-Pruner
  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…
  ☆1,097Updated last year
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆260Updated last year
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆219Updated 2 years ago
• FMInference / DejaVu
  ☆352Updated last year
• mit-han-lab / duo-attention
  [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆519Updated 11 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆366Updated 11 months ago
• dropbox / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆905Updated 3 weeks ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆751Updated last year