punica-ai / punicaLinks
Serving multiple LoRA finetuned LLM as one
☆1,134Updated 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☆1,315Updated 10 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,896Updated 2 years ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆992Updated last year
- ☆591Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆713Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆943Updated 3 months ago
- A high-performance inference system for large language models, designed for production environments.☆491Updated last month
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,179Updated 4 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,091Updated 7 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,664Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆910Updated last month
- ☆552Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,857Updated last week
- The Triton TensorRT-LLM Backend☆919Updated this week
- Large Context Attention☆764Updated 3 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆807Updated 10 months ago
- Microsoft Automatic Mixed Precision Library☆635Updated 2 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆750Updated last year
- ☆576Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆888Updated 2 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆737Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆865Updated last year
- scalable and robust tree-based speculative decoding algorithm☆366Updated last year
- batched loras☆349Updated 2 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,697Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,249Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆639Updated last year
- Scalable toolkit for efficient model alignment☆848Updated 3 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,592Updated last year
- LLMPerf is a library for validating and benchmarking LLMs☆1,081Updated last year