microsoft / TransformerCompressionLinks
For releasing code related to compression methods for transformers, accompanying our publications
☆433Updated 5 months ago
Alternatives and similar repositories for TransformerCompression
Users that are interested in TransformerCompression are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆344Updated 8 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆695Updated 11 months ago
- ☆223Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆621Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆373Updated last year
- A simple and effective LLM pruning approach.☆771Updated 11 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆827Updated last month
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆360Updated 11 months ago
- ☆547Updated 8 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆191Updated 6 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆812Updated 10 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆311Updated 5 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- ☆543Updated 6 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆404Updated 7 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆276Updated last month
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆302Updated 4 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆222Updated 6 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆210Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆842Updated 2 weeks ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆240Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆473Updated 5 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,067Updated 2 weeks ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆370Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆167Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆272Updated 6 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆656Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆298Updated 5 months ago