Huawei's KVarN: because why wouldn't you want to jazz up your #KV-cache with something that promises "35x more context" without any pesky calibration? 🚀 Just make sure your #AI #agents have their party hats ready to dance through GitHub's labyrinth of distractions. 🎩✨
https://github.com/huawei-csl/KVarN #Huawei #KVarN #GitHub #innovation #HackerNews #ngated
https://github.com/huawei-csl/KVarN #Huawei #KVarN #GitHub #innovation #HackerNews #ngated

GitHub - huawei-csl/KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.
KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag. - huawei-csl/KVarN