ArniXS
Model Details
- Architecture: Transformer-based (6 layers, 6 attention heads)
- Parameters: ~50M
- Context Length: 64 tokens
- Vocabulary Size: 14,704 tokens
Hardware Requirements
Minimum requirements:
- CUDA-capable GPU with 4GB VRAM
- 8GB RAM
- Python 3.8+
Recommended:
- NVIDIA GPU with 8GB+ VRAM (tested on RTX 3070)
- 16GB+ RAM
- Python 3.10+
- Downloads last month
- 4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support