Calculate Key-Value cache VRAM memory footprints ($Memory = 2 imes ext{Layers} imes ext{Heads} imes ext{Dim} imes ext{SeqLen} imes ext{Batch} imes ext{Bytes}$) across quantization precisions.
Execution runs 100% locally inside the browser sandbox using HTML5 Canvas, Web Cryptography Subtle API, and Web Workers. Zero egress.
Zero network latency. Operates completely offline with zero dependencies on third-party backend servers or cloud services.
Built according to official RFC specifications, cryptographic test vectors, and enterprise-grade data transformation standards.
Output = Process(Input_Buffer, Options)Input_BufferOptionsOutput“Running a standard operation in LLM KV Cache VRAM Quantization (FP16 vs FP8 vs INT4) Memory Sizer.”
Verify that input data matches supported format criteria.
Transforms the input data according to configured options.
The operation succeeded with zero server round-trips.
Enter your parameters or upload files into LLM KV Cache VRAM Quantization (FP16 vs FP8 vs INT4) Memory Sizer.
The tool executes automatically in real time.
Copy your results to clipboard or download the output file.
LLM KV Cache VRAM Quantization (FP16 vs FP8 vs INT4) Memory Sizer runs entirely inside your web browser sandbox using modern client-side APIs. No user data, files, or inputs are sent to remote servers.
Yes. The interface is fully responsive and touch-optimized for mobile phones, tablets, and desktop computers.
Utilifie is 100% free with zero data tracking. Support continuous development and tool elevations.
Zero-egress companion tools in the AI Utilities suite
Calculate exact GGUF file sizes and minimum GPU VRAM / CPU RAM requirements for local llama.cpp / Ollama model inference.
Calculate vLLM virtual memory paging fragmentation (<4% memory waste) comparing block sizes ($B = 16, 32$) against unpaged contiguous KV cache memory leaks.
Calculate prompt token reduction ratio ($R = 1 - rac{Tokens_{compressed}}{Tokens_{raw}}$) and LLM API cost savings.
Calculate API inference cost given prompt and completion token counts.