FlashMLA

license

MIT(OSI)

source

public

core features withheld

no

MIT license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

• https://api.github.com/repos/deepseek-ai/FlashMLA recorded 2026-09-02

  Repo metadata for flashmla's canonical repository - private false, archived false, fork false.

• https://github.com/deepseek-ai/FlashMLA/blob/main/LICENSE recorded 2026-09-02

  LICENSE body is the verbatim MIT text under a DeepSeek copyright line.

• https://github.com/deepseek-ai/FlashMLA/blob/main/README.md recorded 2026-09-02

  README describes FlashMLA as DeepSeek's library of optimized attention kernels powering the DeepSeek-V3 and DeepSeek-V3.2-Exp models, with no paid tier, enterprise edition or license-gated build beside the published source.

The `flash-mla` package on PyPI is a single unrelated placeholder release, not DeepSeek's distribution; FlashMLA's own README installs it from source instead. That leaves GitHub stars as the only adoption signal, which measures attention rather than confirmed use.

• https://api.github.com/repos/deepseek-ai/FlashMLA recorded 2026-09-02

  Repo metadata - stargazers_count = 12,895 - for deepseek-ai/FlashMLA.

FlashMLA and FlashAttention are both attention-kernel libraries, but FlashMLA's kernels are purpose-built for DeepSeek's own multi-head latent and sparse attention rather than general-purpose use across architectures. That places it two steps below FlashAttention.

• https://github.com/deepseek-ai/FlashMLA/blob/main/README.md recorded 2026-09-02

  README describes FlashMLA as DeepSeek's library of optimized attention kernels powering the DeepSeek-V3 and DeepSeek-V3.2-Exp models, with no paid tier, enterprise edition or license-gated build beside the published source.