# Aryan Nukala: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/aiencoder
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Datasets

Dataset · Text generation

### [llama-cpp-wheels](https://savrn.com/datasets/llama-cpp-wheels)

[Aryan Nukala](https://savrn.com/model-publishers/aiencoder)

If you like this please consider liking and donating (https://buymeacoffee.com/aiencoder) The most complete collection of pre-built llama-cpp-python wheels in existence — 8,333 wheels across every platform, Python version, backend, and CPU optimization level. No more cmake, gcc, or compilation hell. No more waiting 10 minutes for a build that might fail. Just find your wheel and pip install it directly. Standard wheels target the "lowest common denominator" to avoid crashes on old hardware. This collection goes further — the manylinux wheels are built using a massive Everything Preset targeting specific CPU instruction sets, maximizing your Tokens per Second (T/s). The manylinux builds…

Publicly accessible mit 1K<n<10K

[View dataset](https://savrn.com/datasets/llama-cpp-wheels)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-08.
- [Hugging Face profile](https://huggingface.co/AIencoder)
- [How the hub is built](https://savrn.com/model-hub/methodology)
