FasterDecoding / MedusaLinks
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
☆2,699Updated last year
Alternatives and similar repositories for Medusa
Users that are interested in Medusa are comparing it to the libraries listed below
Sorting:
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,315Updated 11 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,896Updated 2 years ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,092Updated 7 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,431Updated 6 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,249Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,312Updated 8 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,875Updated this week
- YaRN: Efficient Context Window Extension of Large Language Models☆1,664Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,140Updated last year
- Minimalistic large language model 3D-parallelism training☆2,529Updated last month
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,105Updated last year
- Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)☆2,699Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,600Updated last year
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,180Updated 4 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,654Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,224Updated 5 months ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,169Updated last week
- Fast inference from large lauguage models via speculative decoding☆886Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆865Updated last year
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,668Updated last year
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,660Updated last week
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,142Updated 2 years ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,028Updated 9 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- Scalable toolkit for efficient model alignment☆852Updated 4 months ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,005Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,940Updated 5 months ago
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,291Updated 2 weeks ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆639Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,859Updated last week