TWITTER_POST

Victormustar argues that Qwen3.5-35B-A3B is a notable breakthrough for local AI…

Brief

Victormustar argues that Qwen3.5-35B-A3B is a notable breakthrough for local AI agents on consumer hardware, specifically machines with 32GB RAM. The core claim is that its low 3B active-parameter footprint enables unusually capable local use, including dependable tool use and stable multi-step agent behavior, making this an especially good moment to experiment with local models.

Source evidence

title: @victormustar: If you like Claude Code/Codex and have 32GB of RAM: please run Qwen3.5-35B-A3B l...
author: victormustar
contenttype: twitterpost
published: 2026-02-24T19:37:27+00:00
source_url: https://x.com/victormustar/status/2026624792602808707/photo/1

word_count: 82

Tweet by @victormustar

If you like Claude Code/Codex and have 32GB of RAM: please run Qwen3.5-35B-A3B locally. There's a before and after for local agents: reliable tool calling, stable agentic loops, only 3B active params. Punches way above its weight! Now is the best time to get started with local models.


Posted: 2026-02-24T19:37:27.000Z
Engagement: 2140 likes, 137 retweets, 122 replies


Quoting @victormustar

This is big: Pi X Hugging Face

The agent behind OpenClaw is now integrated directly in Hugging Face - letting your run thousands of models locally without leaving your computer!

Let me explain how