quant.cpp
What it is
quant.cpp is a pure C library and CLI tool for LLM inference that uses lossless KV cache compression to enable 7x longer context windows on consumer hardware. It provides an Ollama-style interface for running models like Qwen3 and Llama 3.2 with significantly reduced memory usage while maintaining near-FP32 quality.
The problem it solves
Standard LLM inference requires excessive memory for long contexts, forcing users to use RAG chunking which leads to hallucinations when the wrong section is retrieved, or requiring expensive GPU hardware.
What you could use it for
- Running large context LLMs (128K tokens) on 16GB laptops
- Replacing RAG chunking with full-document understanding
- Deploying OpenAI-compatible local LLM servers without GPU
- Reducing KV cache memory footprint for long-form generation
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.