AirLLM vs TurboQuant

<!-- SC_OFF --><div class="md"><p>I haven’t used it in a while, is it still worth it?</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a

<!-- SC_OFF --><div class="md"><p>Reading on the TurboQuant news makes me extremely excited for the future of local llm.</p> <p>When should we be expecting it?</p> <p>What are

<!-- SC_OFF --><div class="md"><p>It has been hyped ±2 weeks ago and I remember seeing some pull requests into llama.cpp, but what is the current status after the hype faded

<!-- SC_OFF --><div class="md"><p>wouldnt that have a drastic improvement??</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/nothi69">

<p>Building a production-ready, fault-tolerant Retrieval-Augmented Generation system is an exercise in managing harsh tradeoffs. You want massive context, lightning-fast hybrid

<!-- SC_OFF --><div class="md"><p>Seems like Google didn't give credit where it's due for TurboQuant.</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a

<!-- SC_OFF --><div class="md"><p><a href="https://x.com/i/status/2036533564158910740">https://x.com/i/status/2036533564158910740</a></p> </div><!-- SC_ON --> &#32; submitted by

<!-- SC_OFF --><div class="md"><p>Does turboquant need any actual arch changes to a model or is it just a different method of representing kv cache and can all be done in