This is the Linux app named MiMo-V2-Flash whose latest release can be downloaded as MiMo-V2-Flashsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MiMo-V2-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.
SCREENSHOTS:
MiMo-V2-Flash
DESCRIPTION:
MiMo-V2-Flash is a large Mixture-of-Experts language model designed to deliver strong reasoning, coding, and agentic-task performance while keeping inference fast and cost-efficient. It uses an MoE setup where a very large total parameter count is available, but only a smaller subset is activated per token, which helps balance capability with runtime efficiency. The project positions the model for workflows that require tool use, multi-step planning, and higher throughput, rather than only single-turn chat. Architecturally, it highlights attention and prediction choices aimed at accelerating generation while preserving instruction-following quality in complex prompts. The repository typically serves as a launch point for running the model, understanding its intended use cases, and reproducing or extending its evaluation on reasoning and agent-style tasks. In short, MiMo-V2-Flash targets the “high-speed, high-competence” lane for modern LLM applications.
Features
- Mixture-of-Experts design for efficient high-capacity inference
- Optimised for reasoning-heavy and coding-oriented workloads
- Built for agentic workflows including planning and tool use patterns
- Multi-token prediction style to improve throughput per step
- Scales across deployment modes from local to server inference
- Repository guidance for running, testing, and evaluating the model
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mimo-v2-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.