Quansloth
GUI Based on the implementation of Google's TurboQuant
Quansloth launched on April 8, 2026.
What it does
Based on the implementation of Google's TurboQuant (ICLR 2026) — Quansloth brings elite KV cache compression to local LLM inference. Quansloth is a fully private, air-gapped AI server that runs massive context models natively on consumer hardware with ease - PacifAIst/Quansloth
A massive thank you to this amazing community. Hitting 128 stars—a beautiful power of two—is a huge milestone. Your support, feedback, and contributions are what fuel the code and keep this project leveling up. Let's aim for the next high score (256)! 🚀👾 Breaking the VRAM Wall: Based on the implementation of Google's TurboQuant ( ICLR 2026 ) — Quansloth brings elite KV cache compression to local LLM inference. Quansloth is a fully private, air-gapped AI server that runs massive context models natively on consumer hardware (like an RTX 3060). By bridging a custom Gradio Python frontend with a highly optimized llama.cpp CUDA backend, Quansloth achieves extreme memory compression, saving up…from github.com
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