hmarkc / parallel-prompt-decodingLinks
Efficient LLM Inference Acceleration using Prompting
☆50Updated last year
Alternatives and similar repositories for parallel-prompt-decoding
Users that are interested in parallel-prompt-decoding are comparing it to the libraries listed below
Sorting:
- ☆29Updated 11 months ago
- ☆38Updated last year
- ☆61Updated 2 years ago
- The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".☆78Updated 7 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- ☆14Updated last year
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆64Updated last year
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆86Updated 8 months ago
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆94Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆169Updated last year
- ☆30Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆47Updated last year
- ☆145Updated 8 months ago
- ☆20Updated 6 months ago
- ☆21Updated last year
- ☆33Updated last year
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆54Updated 11 months ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆40Updated last year
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆48Updated 2 months ago
- Code for studying the super weight in LLM☆119Updated 10 months ago
- ☆47Updated last year
- ☆44Updated 5 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆147Updated last year
- Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…☆21Updated last year
- ☆36Updated 3 months ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆21Updated 10 months ago
- An innovative method expediting LLMs via streamlined semi-autoregressive generation and draft verification.☆26Updated 6 months ago
- Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation☆24Updated 8 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆85Updated last year