Text-to-3D
Transformers
Safetensors
MLX
llama
text-generation
mesh-generation
text-generation-inference
4-bit precision
Instructions to use alexgusevski/LLaMA-Mesh-q4-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexgusevski/LLaMA-Mesh-q4-mlx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("alexgusevski/LLaMA-Mesh-q4-mlx") model = AutoModelForMultimodalLM.from_pretrained("alexgusevski/LLaMA-Mesh-q4-mlx") - MLX
How to use alexgusevski/LLaMA-Mesh-q4-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LLaMA-Mesh-q4-mlx alexgusevski/LLaMA-Mesh-q4-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- da070f8626ee36c29d81d14f7a18b0a943ba6477aaa86b433d0f865f98bf8392
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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