amalia 0.4.3

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AMALIA

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

Local usage (with uv)

Install uv:

# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Clone the repo and run the example:

git clone https://github.com/tiagomonteiro0715/amalia-core.git
cd amalia-core
uv sync
uv run main.py

uv sync installs the dependencies from pyproject.toml/uv.lock into a local .venv, and uv run executes inside it without needing to activate it manually.

Usage in Google Colab

!pip install uv
!uv pip install --system 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])