microsoft / TransformerCompression
For releasing code related to compression methods for transformers, accompanying our publications
☆409Updated last month
Alternatives and similar repositories for TransformerCompression:
Users that are interested in TransformerCompression are comparing it to the libraries listed below
- Official PyTorch implementation of QA-LoRA☆127Updated 11 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆362Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆678Updated 6 months ago
- ☆217Updated 8 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆587Updated 11 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆335Updated 6 months ago
- A simple and effective LLM pruning approach.☆713Updated 6 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆773Updated 4 months ago
- ☆528Updated 4 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆380Updated 7 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆326Updated 3 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆273Updated 6 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆349Updated 3 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆559Updated last week
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆220Updated 10 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆194Updated 7 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆250Updated 4 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆268Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆207Updated last month
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆276Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆218Updated 2 weeks ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆990Updated last week
- ☆192Updated 2 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆702Updated 5 months ago
- Explorations into some recent techniques surrounding speculative decoding☆243Updated 2 months ago
- ☆311Updated 11 months ago
- Advanced Quantization Algorithm for LLMs/VLMs.☆379Updated this week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆770Updated 6 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆295Updated 8 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆259Updated 4 months ago