cmd2001 / KVTunerLinks
KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
☆15Updated 2 months ago
Alternatives and similar repositories for KVTuner
Users that are interested in KVTuner are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆27Updated last year
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆49Updated last year
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆89Updated 7 months ago
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Updated 11 months ago
- Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference☆22Updated 4 months ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆15Updated 5 months ago
- ☆22Updated 3 months ago
- ☆41Updated 8 months ago
- ☆28Updated 11 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆31Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- ACL 2023☆39Updated 2 years ago
- ☆21Updated 2 years ago
- Official PyTorch implementation of CD-MOE☆11Updated 3 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆35Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆14Updated 6 months ago
- Dynamic Context Selection for Efficient Long-Context LLMs☆35Updated last month
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆39Updated last week
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆42Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Updated last year
- Beyond KV Caching: Shared Attention for Efficient LLMs☆19Updated 11 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆49Updated 7 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- ☆77Updated 5 months ago
- Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).☆25Updated last year
- GPU operators for sparse tensor operations☆33Updated last year