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Step 3.5 Flash download for Linux

Free download Step 3.5 Flash Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Step 3.5 Flash whose latest release can be downloaded as Step-3.5-Flashsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Step 3.5 Flash with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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Step 3.5 Flash


DESCRIPTION

Step 3.5 Flash is a cutting-edge, open-source large language model developed by StepFun-AI that pushes the frontier of efficient reasoning and “agentic” intelligence in a way that makes powerful AI accessible beyond proprietary black boxes. Unlike dense models that activate all their parameters for every token, Step 3.5 Flash uses a sparse Mixture-of-Experts (MoE) architecture that selectively engages only about 11 billion of its roughly 196 billion total parameters per token, delivering high-quality reasoning and interaction at far lower compute cost and latency than traditional large models. Its design targets deep reasoning, long-context handling, coding, and real-time responsiveness, making it suitable for building autonomous agents, advanced assistants, and long-chain cognitive workflows without sacrificing performance.



Features

  • Sparse MoE architecture for efficient reasoning and inference
  • High performance on reasoning, coding, and agentic tasks
  • Support for long-context windows with reduced compute costs
  • Local and cloud API deployment options
  • Integration with agent frameworks and tool-driven workflows
  • Open-source licensing with community extensibility


Programming Language

C++


Categories

AI Models

This is an application that can also be fetched from https://sourceforge.net/projects/step-3-5-flash.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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