Metadata-Version: 2.4
Name: amalia
Version: 0.2.0
Summary: Add your description here
Requires-Python: >=3.14
Requires-Dist: numpy>=2.5.0
Requires-Dist: torch>=2.12.1
Description-Content-Type: text/markdown

# AMALIA

AMALIA is a decoder-only transformer architecture inherited from EuroLLM-9B, implemented in plain PyTorch (no external attention kernels).

## Usage in Google Colab

```python
!pip install amalia

import torch
from amalia_core import AmaliaConfig, AmaliaForCausalLM

# Initialize the model with random weights
config = AmaliaConfig()
model = AmaliaForCausalLM(config)

# Run a forward pass on random token ids
input_ids = torch.randint(0, config.vocab_size, (1, 16))
logits = model(input_ids)

print(logits.shape)  # torch.Size([1, 16, 128000])
```
