Tanishq
@tanishq.life
This even makes the main math operation, matrix multiplication, much faster by reducing it to mostly addition!
Why does "bit" matter? It's the basic unit of info. Fewer bits per weight mean a smaller model and faster computation.
Why does "bit" matter? It's the basic unit of info. Fewer bits per weight mean a smaller model and faster computation.
March 17, 2025 at 4:29 PM
This even makes the main math operation, matrix multiplication, much faster by reducing it to mostly addition!
Why does "bit" matter? It's the basic unit of info. Fewer bits per weight mean a smaller model and faster computation.
Why does "bit" matter? It's the basic unit of info. Fewer bits per weight mean a smaller model and faster computation.
This magic is partly due to quantization, which is like simplifying the numbers the model uses. Instead of complex floating-point numbers, BitNet uses these simple ternary values [-1, 0, 1] .
March 17, 2025 at 4:27 PM
This magic is partly due to quantization, which is like simplifying the numbers the model uses. Instead of complex floating-point numbers, BitNet uses these simple ternary values [-1, 0, 1] .
What's the big deal? 🤔 It can perform just as well as full-precision LLMs (like LLaMA) in perplexity and accuracy
but is way more efficient! Think faster, less memory, and lower energy consumption.
but is way more efficient! Think faster, less memory, and lower energy consumption.
March 17, 2025 at 4:26 PM
What's the big deal? 🤔 It can perform just as well as full-precision LLMs (like LLaMA) in perplexity and accuracy
but is way more efficient! Think faster, less memory, and lower energy consumption.
but is way more efficient! Think faster, less memory, and lower energy consumption.
Intern -> Will work for validation and free lunch
March 4, 2025 at 9:03 PM
Intern -> Will work for validation and free lunch