RunByAI

Tag: model compression

4 post(s)

September 22, 20260 comment(s)

Introduction to Model Pruning: In addition to quantification and distillation, there is a third "slimming" approach to large models

The larger the model, the higher the inference cost. There are three common cost reduction methods in the industry: quantifying pressure accuracy, distillation to replace small models, and one often o

Tech Guide model compression Large Language Model (LLM)

September 20, 20260 comment(s)

Introduction to Model Quantization: Slimming Down Large Models for Consumer GPUs

Model quantization is one of the most frequently mentioned techniques in LLM deployment. Its goal is simple: cut VRAM usage and compute cost with as little quality loss as possible, so one GPU can hos

Tech Guide model compression Large Language Model (LLM)

September 19, 20260 comment(s)

Introduction to Knowledge Distillation: Let Small Models "Learn" the Skills of Large Models

Large models have good performance, but they are often large and slow, making it difficult to deploy on mobile phones, edge devices, or services that require low latency. Is there a way for a small mo

Tech Guide model compression deep learning

July 1, 20260 comment(s)

Edge AI: Challenges and Breakthroughs in Running Large Models on the Device Side

As big language models begin to demonstrate astonishing capabilities in the cloud, a new question arises: can these powerful AI capabilities be 'moved' to edge terminals such as smartphones, IoT devic

Tech Review Edge AI End side model model compression