Instructions to use NemoTLS/ToriiGate-0.5-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NemoTLS/ToriiGate-0.5-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ToriiGate-0.5-oQ8 NemoTLS/ToriiGate-0.5-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
metadata
library_name: mlx
tags:
- mlx
- oq
- quantized
ToriiGate-0.5-oQ8
// this model might have the best VLM i've seen, especially for recognizing whatever is going on in artwork.
This model was quantized using oQ (oMLX v0.3.6) mixed-precision quantization.
Quantization details
- Model type: qwen3_5
- Bits: 8
- Group size: 64
- Format: MLX safetensors