lucidrains / speculative-decodingLinks
Explorations into some recent techniques surrounding speculative decoding
☆275Updated 7 months ago
Alternatives and similar repositories for speculative-decoding
Users that are interested in speculative-decoding are comparing it to the libraries listed below
Sorting:
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆99Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆205Updated 8 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆299Updated 3 months ago
- ☆268Updated 3 weeks ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆198Updated 5 months ago
- ☆223Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆167Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆312Updated 6 months ago
- ☆47Updated last year
- ☆331Updated last year
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).☆66Updated last year
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆95Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆230Updated 8 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆61Updated 10 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆462Updated last year
- [NeurIPS'23] Speculative Decoding with Big Little Decoder☆93Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆225Updated 4 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆165Updated last year
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆212Updated 11 months ago
- ☆137Updated 5 months ago
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆81Updated 5 months ago
- Official Implementation of "Learning Harmonized Representations for Speculative Sampling" (HASS)☆43Updated 4 months ago
- Code for studying the super weight in LLM☆114Updated 8 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆109Updated 4 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆138Updated 11 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆128Updated 5 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆311Updated 3 weeks ago
- ☆127Updated last year