Видео с ютуба Ternary Llm

4 Bit Models Are DEAD | Ternary Models Are HERE!

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

1-Bit LLM: The Most Efficient LLM Possible?

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

Why TERNARY LOGIC Makes More Sense Than Boolean Logic

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

Преодолеваем барьер в 1,58 бита для тернарных LLM

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

Train Your Own Tiny LLM on Your PC In Just A Few Hours

Как LLM выживают в условиях низкой точности | Основы квантования

Сможет ли модель на 3.5 ГБ заменить мой основной инструмент на 35B? (Bonsai 27B)

The myth of 1-bit LLMs | Quantization-Aware Training

Ternary weights explained in 8min..

Ternary Mamba — Ternary Quantization-Aware Training (QAT), explained

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

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

The End of GPU Dependency? Running Microsoft's 2B Parameter 1-Bit LLMs on a CPU! 🤯

Ternary Bonsai 27B против Qwen 3.6 27B: локальный тест, стоит ли экстремальное сжатие ИИ того?

This Tiny 1-Bit Model Could Change AI Forever

Bonsai 27B Deep Dive – 1-Bit, Ternary & Full Precision Compared!