Scale your social content easily
⚡ Multiply one video into weeks of content, then deploy Xiaomi's open source model locally

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In Partnership with Modash
You See Their Creator Campaigns. Now Hear Their Thinking.

A creator campaign can look great in your feed and still leave you wondering whether you’d pay to run it again.
Repeating that uncertainty with more creators gets expensive.
On October 21, Modash’s Return on Influence Festival ’26 opens up how established teams run their programs, including the mistakes behind better campaigns.
Here’s what you’ll learn:
- How teams run campaigns day-to-day, including what they changed after mistakes.
- What creators want from brand partners so that you can approach collaborations from their side.
- What it takes to scale from 5 to 5,000 creators before adding more to your own program.
You’ll hear from Maya Shaff, Head of Influencer at ŌURA, and Josh Rangel, Senior Director, Social Strategy at Ogilvy. More to be announced. It’s online and free.
Reserve your spot for Oct 21st and leave with actionable insights to build and scale a creator program that moves the needle.
Can't attend every session live? Register anyway, and you’ll get the recordings in 24 hours.
Turn One Idea Into Two Weeks Of Content
Struggling to stay consistent with content creation while running a business? You do not need to generate fresh concepts every day. By recording a single video, you can repurpose one core topic into two full weeks of engaging social media posts.
Steps to Scale Content from One Core Idea:
1️⃣ Outline Your Idea First
Create a loose structure before hitting record. Focus on a strong opening hook, relevant story context, and a clear valuable payoff. Preparing a brief script keeps your thoughts organized and prevents constant retakes.
2️⃣ Record Raw Footage Quickly
Set up a simple recording environment using a phone or camera. Keep your notes visible on screen to guide your delivery. Record for roughly fifteen minutes, re-taking bad sentences naturally without stopping the recording.
3️⃣ Repurpose Into Multiple Formats
Transform the raw recording into various assets. Edit the main video cut, create a shorter supercut version, generate a written newsletter, and extract key quotes into standalone text posts or visual graphics.
4️⃣ Batch and Schedule Your Posts
Upload your finished assets into a scheduling tool. Plan three posts per week across two weeks. Distributing your content in different styles ensures your message reaches diverse audience preferences without feeling repetitive.
The Takeaway
Repurposing a single video recording into multiple distinct post formats saves dozens of hours while keeping your online presence consistently active. Stop overthinking every post and build a repeatable workflow that maximizes your content output effortlessly.
Run Xiaomi Multimodal Model Locally
Looking for a powerful open source artificial intelligence model that runs directly on your laptop. Xiaomi has released an impressive nine billion parameter model built on the Qwen architecture. Featuring a permissive MIT license this multimodal model handles both text and images with strong capabilities in coding and agentic tasks. Best of all it operates efficiently on devices with as little as eight gigabytes of unified memory.
Wait Xiaomi has also released the best 9B model in the world?!
— Paul Couvert (@itsPaulAi) September 24, 2026
This model is based on Qwen-9B...
And you can easily run it even on 8GB of memory!
- MIT license
- Multimodal (image + text)
- Solid for coding/agentic tasks
Perfect to use locally and offline... even on a laptop… pic.twitter.com/pilQ4Kiqdt
Steps to Deploy Xiaomi Model
1️⃣ Access the Model Repository
Locate the Xiaomi model files on open source platforms like Hugging Face. Verify that you download the quantized weights to ensure compatibility with lower memory setups.
2️⃣ Check System Requirements
Ensure your system has at least eight gigabytes of unified memory. Confirm that your device supports local execution frameworks for offline inference without an internet connection.
3️⃣ Set Up Local Runtime Framework
Install a lightweight local runtime framework on your machine. Load the Xiaomi model files into your preferred environment for seamless local execution.
4️⃣ Execute Text and Multimodal Tasks
Test the model with diverse prompts including coding problems image analysis and agentic workflows. Fine tune execution parameters to optimize speed and responsiveness on your laptop.
The Takeaway
Xiaomi has delivered a game changing multimodal model that brings top tier performance to personal hardware. By combining a flexible license multimodal capabilities and low memory requirements it empowers developers to run private coding assistants anywhere. Try running this model on your laptop today to experience high performance local artificial intelligence.
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