punica-ai / punicaLinks
Serving multiple LoRA finetuned LLM as one
☆1,126Updated last year
Alternatives and similar repositories for punica
Users that are interested in punica are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,307Updated 9 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,879Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆961Updated last year
- ☆583Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆924Updated last month
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,083Updated 5 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,166Updated 2 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆711Updated last year
- A high-performance inference system for large language models, designed for production environments.☆489Updated this week
- Official implementation of Half-Quadratic Quantization (HQQ)☆902Updated this week
- YaRN: Efficient Context Window Extension of Large Language Models☆1,652Updated last year
- Microsoft Automatic Mixed Precision Library☆630Updated 3 weeks ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,672Updated last year
- ☆574Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆792Updated 9 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,849Updated this week
- The Triton TensorRT-LLM Backend☆909Updated this week
- scalable and robust tree-based speculative decoding algorithm☆365Updated 10 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆884Updated 3 weeks ago
- ☆551Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆854Updated last year
- Large Context Attention☆754Updated 2 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,577Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆733Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,296Updated 7 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,235Updated last year
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆662Updated last year
- Comparison of Language Model Inference Engines☆238Updated last year
- LLMPerf is a library for validating and benchmarking LLMs☆1,067Updated last year