LLaMa GPTQ 4-Bit Quantization. Billions of Parameters Made Smaller and Smarter. How Does it Work?
13:04
Quantization in Deep Learning (LLMs)
20:40
AWQ for LLM Quantization
19:49
Why Do LLM’s Have Context Limits? How Can We Increase the Context? ALiBi and Landmark Attention!
17:07
LoRA explained (and a bit about precision and quantization)
27:14
Transformers (how LLMs work) explained visually | DL5
15:51
Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ)
9:29
Run LLaMA on small GPUs: LLM Quantization in Python
25:03