---
title: "THE BIGGEST OPEN AI MODEL EVER IS NOW FREE: KIMI K3 WEIGHTS ARE LIVE (CAN YOU RUN IT?)"
source_url: https://youtu.be/Vu-YGzwft9g
captured_at: 2026-07-30
author: "Signal Coders"
contributor: "ชิดชนก"
platform: youtube
---
# THE BIGGEST OPEN AI MODEL EVER IS NOW FREE: KIMI K3 WEIGHTS ARE LIVE (CAN YOU RUN IT?)

youtube video by **Signal Coders**, 12m57s, uploaded 2026-07-27. URL: https://youtu.be/Vu-YGzwft9g
Tags: kimi k3, kimi k3 weights, kimi k3 download, run kimi k3 locally, kimi k3 hardware, moonshot ai, open weights, open source ai, largest open source model, 2.8 trillion parameters, mxfp4, quantization aware training, mixture of experts, kimi delta attention, vllm, sglang, gguf, llama.cpp, local llm, local ai, self hosted ai, ssd streaming, colibri, deepseek v4, glm 5.2, laguna s 2.1, ai benchmarks, s

## Shared in LINE Note+
- 2026-07-30 09:05 by ชิดชนก — nearby chat: บุกจับ น้ำมันเครื่อง - ผงมัทฉะ ปลอม ชื่อเจ้าของรู้เลยไม่น่าไว้ใจ | TNews | LINE TODAY

## Description
The largest open-weight AI model in history is now a file you can download — 2.8 trillion parameters, free, on Hugging Face. Eleven days ago Moonshot AI had to stop taking new subscribers because demand for Kimi K3 exceeded their own compute. Tonight they gave the whole thing away. So: can you actually run it? In this video — what landed (~594GB MXFP4), the architecture in plain English, the honest hardware reality in three tiers, the SSD-streaming path that changes the math, the benchmark caveat that should make you skeptical of every number this week (harness mixing swings scores 10–26 points), the license question that's genuinely unresolved, the ecosystem gaps nobody mentions — and why this matters enormously even if you can't run it today.

⏱️ Chapters:
00:00 The Biggest Model Ever Is Now a Download
00:59 What Actually Landed (594 GB)
01:29 2.8T Parameters, 896 Experts, 1M Context
01:55 Why 4-Bit Is the NATIVE Release
02:37 The Hardware Reality (Straight Talk)
03:28 Tier 1: Server-Class Hardware
03:43 Tier 2: The SSD-Streaming Path
04:50 Tier 3: What Everyone Else Should Do
05:12 The Ecosystem Gap (KDA Breaks Prefix Caching)
06:01 The Benchmark Caveat Nobody Mentions
06:37 Har
