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:
- edececf8b5c481d3ad9ab1f53ed96526b733161dd7c10d6dec33da6e0ab8dba4
- Size of remote file:
- 4.52 GB
- SHA256:
- 951e1893e7f559a41411536955cbc9d7caeffb929d39079187fc9f27a3d0110e
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