Topped the LMSYS Arena leaderboard for prolonged periods. Exceptional Chinese/English bilingual fluency and high accuracy on long-document summarization tasks.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 130GB VRAM Recommended
The Yi-Lightning-2 model by 01.AI is a 200B (MoE) parameter architecture optimized for chat tasks. It requires approximately 128GB of VRAM to comfortably run locally using a Q4_K_M quantization. Extending the context window up to 200,000 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running Yi-Lightning-2 at maximum tokens-per-second, we recommend using LM Studio or Ollama with a GGUF quantization (Q4_K_M or Q6_K). If you are multi-GPU, use vLLM to distribute the layers across your VRAM pool for optimal throughput.
You will need a GPU with at least 130GB of VRAM to run the Q4_K_M quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run yi-lightning2' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.