OPEN LINK ↗
// 55d agoOPENSOURCE RELEASE
inferrs runs Gemma 4 with TurboQuant
inferrs is a lightweight, single-binary LLM inference engine written in Rust that supports Google's new Gemma 4 models. It leverages TurboQuant, a specialized KV cache compression strategy that achieves 3.5-bit quantization with zero accuracy loss, enabling high-performance local inference on consumer GPUs and CPUs.
// ANALYSIS
inferrs demonstrates how advanced quantization research like TurboQuant can be rapidly productized for the local LLM community.
- –TurboQuant's "zero-overhead" compression is a breakthrough for long-context models, fitting larger windows into consumer VRAM.
- –Rust-based architecture simplifies deployment compared to traditional Python-heavy stacks like vLLM.
- –Direct integration with Gemma 4 (E2B) models targets the latest in local reasoning capabilities.
- –Multi-backend support (Metal, CUDA, ROCm, Vulkan) ensures high performance across diverse hardware.
// TAGS
inferrsllmquantizationgemma-4open-sourcerustinference
DISCOVERED
55d ago
2026-04-03
PUBLISHED
55d ago
2026-04-03
RELEVANCE
8/ 10
AUTHOR
Pretend-Proof484