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