This is the Linux app named Ring whose latest release can be downloaded as Ringsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Muat turun dan jalankan dalam talian apl bernama Ring with OnWorks ini secara percuma.
Ikut arahan ini untuk menjalankan apl ini:
- 1. Memuat turun aplikasi ini dalam PC anda.
- 2. Masukkan dalam pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang anda mahukan.
- 3. Muat naik aplikasi ini dalam pengurus filem tersebut.
- 4. Mulakan OnWorks Linux dalam talian atau emulator dalam talian Windows atau emulator dalam talian MACOS dari tapak web ini.
- 5. Daripada OS Linux OnWorks yang baru anda mulakan, pergi ke pengurus fail kami https://www.onworks.net/myfiles.php?username=XXXX dengan nama pengguna yang anda mahukan.
- 6. Muat turun aplikasi, pasang dan jalankan.
SKRIN
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Ring
DESCRIPTION
Ring is a reasoning Mixture-of-Experts (MoE) large language model (LLM) developed by inclusionAI. It is built from or derived from Ling. Its design emphasizes reasoning, efficiency, and modular expert activation. In its “flash” variant (Ring-flash-2.0), it optimizes inference by activating only a subset of experts. It applies reinforcement learning/reasoning optimization techniques. Its architectures and training approaches are tuned to enable efficient and capable reasoning performance. If you are located in mainland China, we also provide the model on ModelScope.cn to speed up the download process.
Ciri-ciri
- Mixture-of-Experts (MoE) architecture (activates a subset of experts per input)
- Reasoning-optimized model with reinforcement learning enhancements
- “Thinking” model variant (flash) with sparse expert activation (e.g. 1/32 expert activation)
- High inference throughput (e.g. > 200 tokens/sec under optimized settings)
- Multi-stage training: SFT + RLVR + RLHF
- Efficient architecture and memory design for large-scale reasoning
Bahasa Pengaturcaraan
Python
Kategori
This is an application that can also be fetched from https://sourceforge.net/projects/ring-llm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
