microsoft / TransformerCompression
For releasing code related to compression methods for transformers, accompanying our publications
☆405Updated last week
Alternatives and similar repositories for TransformerCompression:
Users that are interested in TransformerCompression are comparing it to the libraries listed below
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆358Updated 11 months ago
- Official PyTorch implementation of QA-LoRA☆122Updated 10 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆757Updated 3 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆581Updated 10 months ago
- ☆214Updated 7 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆669Updated 5 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆327Updated 5 months ago
- A simple and effective LLM pruning approach.☆707Updated 5 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆321Updated 2 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆175Updated 2 weeks ago
- ☆517Updated 3 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆762Updated 5 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆315Updated 2 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆263Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆266Updated 4 months ago
- Explorations into some recent techniques surrounding speculative decoding☆233Updated last month
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆937Updated 3 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆492Updated this week
- ☆192Updated last month
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆269Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆689Updated 4 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆190Updated 6 months ago
- Large Context Attention☆677Updated this week
- Official implementation of Half-Quadratic Quantization (HQQ)☆737Updated 2 weeks ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆207Updated 2 months ago
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆928Updated 3 weeks ago
- ☆538Updated last month
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆212Updated 9 months ago
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆420Updated last week
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆378Updated 6 months ago