A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).

• transformer_nuggets/flash: Triton FlashAttention experiments + masking/bias utilities.
• transformer_nuggets/quant: NF4 tensor subclass + QLoRA building blocks (pure PyTorch).
• transformer_nuggets/fp8: FP8 casting / scaled-quantization kernels (Triton). Try helion :)
• transformer_nuggets/cute: CUTE DSL experiments and tooling (includes an intra-kernel profiler).
• transformer_nuggets/misc: Odds and ends (e.g. attention wrappers, utilities).
• transformer_nuggets/llama: LLaMA-ish model + training/finetune scripts (research-grade).

This repository is research code: APIs are not stable and may change.

You’ll need a working PyTorch install first (CPU or CUDA). Follow the official PyTorch install instructions.

To install from PyPI:

pip install transformer_nuggets

To hack on the code locally:

git clone https://github.com/drisspg/transformer_nuggets.git
cd transformer_nuggets
pip install -e .

Optional extras:

pip install "transformer_nuggets[flash]"  # triton
pip install "transformer_nuggets[qlora]"  # bitsandbytes (optional comparisons)
pip install "transformer_nuggets[llama]"  # llama training utilities

Use torchao :)

FlashAttention (requires CUDA + Triton; API is experimental):

Use flex-attention :)

CUTE intra-kernel profiling (writes a Perfetto trace):

python -m transformer_nuggets.cute.profiler.example

• transformer_nuggets/: Python package.
• benchmarks/: Microbenchmarks and profiling scripts.
• examples/: Small runnable examples.
• scripts/: One-off utilities.
• test/: PyTest suite.

pip install -e ".[dev]"
pre-commit install
pytest