punica-ai / punicaLinks
Serving multiple LoRA finetuned LLM as one
☆1,066Updated 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☆1,258Updated 3 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,835Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆845Updated 9 months ago
- A throughput-oriented high-performance serving framework for LLMs☆825Updated 2 weeks ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,020Updated 2 months ago
- ☆541Updated 9 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,055Updated this week
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,426Updated 11 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,325Updated last week
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆809Updated 10 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆705Updated 3 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,497Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆731Updated 8 months ago
- Minimalistic large language model 3D-parallelism training☆1,926Updated last week
- ☆541Updated 7 months ago
- Microsoft Automatic Mixed Precision Library☆609Updated 8 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,803Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,128Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆827Updated last week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,500Updated this week
- batched loras☆343Updated last year
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,549Updated 11 months ago
- ☆543Updated 6 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆617Updated last year
- Large Context Attention☆716Updated 4 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,081Updated last week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆819Updated last month
- The Triton TensorRT-LLM Backend☆848Updated last week
- GPTQ inference Triton kernel☆302Updated 2 years ago