casys-kaist / DaCapo
☆15Updated 2 months ago
Alternatives and similar repositories for DaCapo:
Users that are interested in DaCapo are comparing it to the libraries listed below
- ☆102Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆93Updated last month
- ☆47Updated 2 months ago
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale☆80Updated 3 weeks ago
- [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation☆11Updated last year
- Example code for RBLN SDK developers building inference applications☆15Updated last week
- Experimental deep learning framework written in Rust☆14Updated 2 years ago
- Neural Network Acceleration such as ASIC, FPGA, GPU, and PIM☆51Updated 4 years ago
- ☆25Updated 2 years ago
- Study parallel programming - CUDA, OpenMP, MPI, Pthread☆56Updated 2 years ago
- A version of XRBench-MAESTRO used for MLSys 2023 publication☆23Updated last year
- NEST Compiler☆116Updated 6 months ago
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆39Updated 10 months ago
- FriendliAI Model Hub☆89Updated 2 years ago
- OwLite is a low-code AI model compression toolkit for AI models.☆39Updated 4 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆56Updated 10 months ago
- ☆83Updated 10 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆114Updated 10 months ago
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆33Updated this week
- Study Group of Deep Learning Compiler☆156Updated 2 years ago
- ☆48Updated 9 months ago
- How much energy do GenAI models consume?☆41Updated 3 months ago
- A performance library for machine learning applications.☆183Updated last year
- ☆24Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆101Updated 3 months ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆26Updated 5 months ago
- ☆56Updated 2 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆24Updated 7 months ago
- ☆31Updated 6 months ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆60Updated 5 months ago