Meta's flagship 4B music model with melody conditioning from reference audio clips. Best for cinematic scoring and mood-driven generation. CC-BY-NC-4.0. Industry standard for AI-assisted film and game soundtrack production.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 14GB VRAM Recommended
The MusicGen Large model by Meta AI is a 4B parameter architecture optimized for audio tasks. It requires approximately 12GB of VRAM to comfortably run locally using a BF16 quantization. Extending the context window up to 0 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running MusicGen Large 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 14GB of VRAM to run the BF16 quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run musicgen-large' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.