efficiency & quantization: 8 curated resources
efficiency & quantization
8 resources · page 1 of 1
Liquid AI research
by Liquid AI
Liquid AI research page: papers and technical reports on Liquid Foundation Models.
MobileCLIP research implementation
Apple ml-mobileclip GitHub repo: official implementation of MobileCLIP efficient image-text models.
SageAttention
by TSAIL group
Tsinghua SageAttention GitHub repo: quantised low-bit attention kernels for faster inference.
Code execution with MCP
by Anthropic
Anthropic post on code execution with MCP: agents write code to call tools, reducing token use and context load.
Building an efficient harness for advanced enterprise work (Glean)
by Glean
Glean post on its coding-agent harness using code execution, tool-output truncation and progressive disclosure to cut tokens.
PEFT documentation
by Hugging Face
Hugging Face PEFT documentation: parameter-efficient fine-tuning methods such as LoRA, with recipes.
Qiskit Machine Learning
Qiskit Machine Learning documentation: quantum kernels and quantum neural networks for ML experiments.
QLoRA
by Tim Dettmers et al. (University of Washington)
arXiv paper (2023) introducing QLoRA, fine-tuning 4-bit quantized LLMs with low-rank adapters.