Lm Wheels: Metadata for Prebuilt LLM Training and Deployment Packages

Metadata and installation instructions for prebuilt Python wheels for components of the LLM training and deployment stack, such as apex, causal-conv1d, transformer-engine, and vllm. The repository is maintained by SakanaAI and was last updated on 2026-05-28. The structure includes subfolders for specific package versions, Python versions, and CUDA toolkits.

Use Cases

• Install specific versions of LLM stack packages based on the provided metadata for different Python and CUDA versions.
• Set up reproducible development or deployment environments for LLM projects using the prebuilt wheel specifications.
• Verify compatibility between different components of the LLM software stack, such as PyTorch and CUDA versions, using the structured folder hierarchy.

Strengths

• Explicitly lists supported packages including apex, causal-conv1d, transformer-engine, and vllm.
• Provides a structured hierarchy for versioning, indicating compatibility with specific Python (e.g., py312) and CUDA (e.g., cu128) toolkits.
• Last update timestamp is precisely recorded as 2026-05-28 23:04:55.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

SakanaAI

Collection Method

Likely compiled from software build and distribution processes.

Freshness

Last updated 2026-05-28 23:04:55; freshness should be verified.