Видео с ютуба Ternary Weights

Ternary weights explained in 8min..

Ternary Computing Explained: Why Setun Lost in 1965 and Why AI Models Use Three States

What Are Ternary & 1-Bit AI Models Explained | Run AI With Almost No Memory

Why TERNARY LOGIC Makes More Sense Than Boolean Logic

Тройное бонсай: крошечная модель, которая не должна быть такой хорошей.

Преодоление 1,58-битного барьера для тернарных LLM (сентябрь 2026 г.)

4 Bit Models Are DEAD | Ternary Models Are HERE!

Ternary Bonsai 27B: тестирование и бенчмаркинг против Qwen 27B — локальная LLM на 16 ГБ

Ternary Weights, 3-Bit KV Caches, and the Limits of Quantization | Bangalore Paper Club

BitNet b1.58 How 1.58-Bit Ternary Weights Run LLMs on CPUs Without GPUs

Преодолеваем барьер в 1,58 бита для тернарных LLM

Ternary Weights and the Reliability Ceiling: What LLMs Give Up to Get Small

Ternary Bonsai 2 27B explained in 8 minutes

I Just Tried The Brand New Ternary Model And It's Great!

BitNet.cpp GitHub Explained: 1.58-Bit Ternary Weights for Local CPU Inference

Обзор Maple-Preview: тернарные веса, лучше на CPU, чем на GPU, честные результаты

Ternary Bonsai 27B on 8GB: What Actually Fits?

Первый в мире троичный компьютер

This Could Change Local AI Forever

Millisecond AI Decisions, Every Time: Ternary Quantization + WebGPU