Can M3 Max run TRELLIS Image Large?
Yes — runs locally
~102 tok/sec · Instant — feels like typing. No noticeable delay.
The verdict
The M3 Max (128 GB VRAM) handles TRELLIS Image Large comfortably using the FP16 quantization, which fits in 12.0 GB. Expected throughput is around 102 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Image-to-3D model that produces textured meshes. Runs in ~12 GB VRAM and outputs glTF.
Setup tutorial: TRELLIS Image Large on M3 Max
AI-generated, GPU-specific. Verified commands for your exact hardware.
Run TRELLIS Image Large on your Apple M3 Max with FP16 quantization for Grade S performance at ~265 tok/sec, utilizing 12.0GB VRAM out of 128GB.
Prerequisites
Before starting, ensure you have at least 3GB of free disk space, macOS Ventura 13.0 or later, and Xcode Command Line Tools installed. You can install Xcode CLT by running `xcode-select --install` in the terminal.
Expected performance
With the Apple M3 Max, you can expect the TRELLIS Image Large model to run at approximately 265 tokens per second, using around 12.0GB of VRAM. Given the 128GB total VRAM, you will have about 116.0GB of headroom, which can support a large context window and additional tasks without performance degradation.
1. Install runtimeOllama (preferred on Apple Silicon)
brew install ollama
ollama init2. Download the model
Download the FP16 quantized version of TRELLIS Image Large (2.4GB file) from Hugging Face.
ollama pull JeffreyXiang/TRELLIS-image-large3. Run it
ollama run TRELLIS-image-large --device mps
ollama interactive TRELLIS-image-large4. Optimize for M3 Max
For optimal performance on the Apple M3 Max, use the Metal Performance Shaders (MPS) backend with the MLX runtime to leverage the 128GB unified memory. Ensure that the MPS layers are enabled to take full advantage of the GPU's capabilities. The large amount of VRAM allows for efficient handling of the 12.0GB required by the model, leaving ample headroom for additional tasks.
Troubleshooting
Model fails to load due to insufficient VRAM
Ensure you are using the FP16 quantization and the MPS backend. If issues persist, try reducing the batch size.
Performance is below expected 265 tok/sec
Check that the MPS layers are enabled and that the MLX runtime is being used. Update your macOS and Ollama to the latest versions.
Interactive session crashes or hangs
Restart the Ollama service with `ollama restart` and ensure that no other resource-intensive applications are running.
Alternative runtimes
While Ollama is the preferred runtime for Apple Silicon, you can also consider LM Studio for a more graphical interface, llama.cpp for lightweight deployment, or the MLX runtime for direct Metal integration. Use these alternatives if you need specific features or better integration with existing workflows.
Other models that run great on M3 Max
FAQ (20)
What GPU do I need to run TRELLIS Image Large?
To run TRELLIS Image Large, you need a GPU with at least 12 GB of VRAM. NVIDIA RTX 3060 or higher is recommended.
Is TRELLIS Image Large good for coding?
TRELLIS Image Large is primarily designed for generating 3D models from images, not for coding tasks. It is not suitable for code generation or programming assistance.
TRELLIS Image Large vs Llama 3.1 8B?
TRELLIS Image Large has 1.2 billion parameters and specializes in image-to-3D conversion, while Llama 3.1 8B is a text-based model with 8 billion parameters, making it better suited for language tasks.
Can I run TRELLIS Image Large on a Mac?
Yes, you can run TRELLIS Image Large on a Mac with a compatible GPU that has at least 12 GB of VRAM, such as an AMD Radeon Pro W5700X or higher.
How much VRAM does TRELLIS Image Large need?
TRELLIS Image Large requires 12 GB of VRAM to run effectively, regardless of quantization.
Is TRELLIS Image Large censored?
TRELLIS Image Large is not inherently censored, but its outputs may be influenced by the training data and any filters applied by the user or platform.
Is TRELLIS Image Large commercial-use allowed?
Yes, TRELLIS Image Large is licensed under the MIT License, which allows for commercial use without additional restrictions.
TRELLIS Image Large context length?
The context length for TRELLIS Image Large is unknown, as it primarily focuses on image-to-3D conversion rather than text processing.
Want personalized recommendations for your exact setup? Detect my hardware →