Post-training weight compression for low-RAM machines: Q4/Q8 quantization, green-format repair, AVX2 CPU inference, optional CUDA. ~45% less RAM at ~99.9% quality.
-
Updated
Jul 31, 2026 - Rust
Post-training weight compression for low-RAM machines: Q4/Q8 quantization, green-format repair, AVX2 CPU inference, optional CUDA. ~45% less RAM at ~99.9% quality.
An LLM inference engine written in pure Rust, designed to run large models on hardware that would normally refuse them.
Add a description, image, and links to the low-memory-inference topic page so that developers can more easily learn about it.
To associate your repository with the low-memory-inference topic, visit your repo's landing page and select "manage topics."