Skip to main content

Custom Triton/CUDA kernels that complement Liger Kernel for LLM post-training

Project description

Chalk

Custom Triton/CUDA kernels that complement Liger Kernel.

pip install freesolo-chalk

Liger fuses the cross-entropy, activation, and RMSNorm paths. Chalk fills the gaps that matter for Freesolo's Flash post-training stack — fused GEMMs, the LoRA-delta matmuls, the QKV norm+RoPE epilogue, embedding gather, and FP8 frozen-base GEMMs — each behind a documented, benchmarked, opt-in entry point.

Chalk's repository layout and conventions intentionally mirror Liger Kernel.

Layout

src/chalk/
  ops/           # raw Triton/CUDA kernels + autograd.Function wrappers
  transformers/  # model-level installers that monkeypatch kernels into HF modules
  utils.py       # device detection helpers
test/            # correctness + gating tests (mirrors test/ops, test/transformers)

Design principles

  • Worker-side kernel library. Like Liger, chalk depends on torch + triton — it is meant to be installed where kernels actually run (the GPU worker), so consumers should depend on it from a gpu extra rather than their base install. Importing the top-level chalk package is still cheap (kernels lazy-load), so probing chalk.utils.infer_device() never forces a heavy import.
  • Complements, not replaces, Liger. Liger fuses CE / activation / RMSNorm; chalk fuses the GEMMs, LoRA delta, QKV epilogue, embedding, and FP8 base.
  • Safe fallback. Every installer is arch-gated, runs a numeric self-test on install, patches only frozen nn.Linear layers (never trainable / PEFT-wrapped layers), and silently falls back to the eager / Liger path on any import / compile / self-test failure.
  • Opt-in & evidence-based. Kernels are off unless explicitly enabled, and every kept kernel has end-to-end loss-curve evidence — not just a microbenchmark.

Development

pip install -e '.[dev]'
make checkstyle   # ruff check + format
make test         # pytest with coverage

Status

Intentionally minimal to start — kernels are landed one at a time under chalk/ops + chalk/transformers, each with correctness tests.

License

BSD-2-Clause. See LICENSE and NOTICE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

freesolo_chalk-0.4.10.tar.gz (219.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

freesolo_chalk-0.4.10-py3-none-any.whl (119.8 kB view details)

Uploaded Python 3

File details

Details for the file freesolo_chalk-0.4.10.tar.gz.

File metadata

  • Download URL: freesolo_chalk-0.4.10.tar.gz
  • Upload date:
  • Size: 219.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for freesolo_chalk-0.4.10.tar.gz
Algorithm Hash digest
SHA256 716e296fc62fa8ec9a69867c05bf0b706931364047f6a71a7224f4d601517184
MD5 827d5be9b3f9163394a4c65a04fecbfe
BLAKE2b-256 3b54e94965a70e88c417e6d894359e442ea9971d09dfd161edd785fa3f07dc6c

See more details on using hashes here.

File details

Details for the file freesolo_chalk-0.4.10-py3-none-any.whl.

File metadata

  • Download URL: freesolo_chalk-0.4.10-py3-none-any.whl
  • Upload date:
  • Size: 119.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for freesolo_chalk-0.4.10-py3-none-any.whl
Algorithm Hash digest
SHA256 85bda3cd18cd2be7b12b8e40155d1621e8b741ef9e60c007efd8bd3a0333116e
MD5 f4b99eeeb039642e1add607225668c3d
BLAKE2b-256 3bd6e96e4fe206f9b32bd635ce81dfef27315bce6997107d01975cf30d5f8f12

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page