1.FareedKhan-dev / kimi-k3-in-c
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
Ranked by Attention Score: stars gained over the last 90 complete days
9 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
A vector index built on TurboQuant, written in Rust with Python bindings
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Faster Whisper transcription with CTranslate2
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
Dataflow compiler for QNN inference on FPGAs
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
QKeras: a quantization deep learning library for Tensorflow Keras