Best bilingual Chinese/English 72B model available. MATH benchmark 90.1 and CEval 92.1. 262K context window makes it the top choice for legal, academic, and enterprise document processing across languages.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 46GB VRAM Recommended
The InternLM3-72B model by Shanghai AI Lab is a 72B dense parameter architecture optimized for chat tasks. It requires approximately 44GB of VRAM to comfortably run locally using a Q4_K_M quantization. Extending the context window up to 262,144 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running InternLM3-72B 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 46GB 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 internlm3:72b' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.