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.
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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.
Run an agentic coding LLM on the GPU you already own. No cloud, no invoice — just llama.cpp on Vulkan, a few glue scripts, and a 7–8B model that calls tools. This repo turns the whole thing into a LAN OpenAI-compatible endpoint that opencode (or any OpenAI client) can drive.
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