Llama Cpp Wheels: Pre-Built Python Packages for Machine Learning

AIencoder's Llama Cpp Wheels dataset is a collection of 8,333 pre-built Python wheels for the llama-cpp-python library. It aims to eliminate compilation steps by providing binaries for various platforms, Python versions, and CPU optimization levels. The dataset was last updated on 2026-05-02.

Use Cases

• Install llama-cpp-python on diverse systems based on the availability of pre-compiled wheels.
• Deploy llama-cpp-python in environments without build tools based on the pre-built binaries.
• Compare performance across different CPU optimization levels based on the available wheel variants.
• Ensure compatibility with specific Python versions and backends based on the categorized wheel collection.

Strengths

• Contains 8,333 distinct pre-built wheels, indicating broad coverage.
• Targets multiple platforms, Python versions, backends, and CPU optimization levels as stated in the description.

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

AIencoder on Hugging Face.

Freshness

Last updated 2026-05-02 21:01:12; freshness should be verified.