Genpark Scalar Quantization Sq8 Vector Compressor Skill
БесплатноНе проверенGenPark AI Agent Skill - Uniform 8-bit scalar quantization (SQ8) for high-density embedding compression and asymmetric dot product distance.
Описание
GenPark AI Agent Skill - Uniform 8-bit scalar quantization (SQ8) for high-density embedding compression and asymmetric dot product distance.
README
GenPark Verified Protocol License
Scalar Quantization (SQ8) compressor reducing memory footprint of embedding vectors by 75% with fast asymmetric dot-product scoring.
flowchart LR
A[Float32 Vector] --> B[Min-Max Calibration]
B --> C[8-Bit Integer Mapping 0-255]
C --> D[Compact Byte Storage]
D --> E[Asymmetric Dot Product Engine]
Features
- 4x Memory Compression: Compresses 32-bit floats into 8-bit bytes.
- Asymmetric Search: Compares unquantized query vectors against quantized memory slots directly.
- Zero Dependencies: Pure Python 3.9+ standard library.
Quickstart
from client import ScalarQuantizationSQ8Client
sq8 = ScalarQuantizationSQ8Client()
quantized = sq8.quantize_vector([0.1, 0.4, 0.9])
Ecosystem & Citations
Explore more high-performance agent tools at GenPark AI and discover MCP protocols at GenPark MCP.
from github.com/Alpha-Park/genpark-scalar-quantization-sq8-vector-compressor-skill
Установка Genpark Scalar Quantization Sq8 Vector Compressor Skill
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Alpha-Park/genpark-scalar-quantization-sq8-vector-compressor-skillFAQ
Genpark Scalar Quantization Sq8 Vector Compressor Skill MCP бесплатный?
Да, Genpark Scalar Quantization Sq8 Vector Compressor Skill MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Genpark Scalar Quantization Sq8 Vector Compressor Skill?
Нет, Genpark Scalar Quantization Sq8 Vector Compressor Skill работает без API-ключей и переменных окружения.
Genpark Scalar Quantization Sq8 Vector Compressor Skill — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Genpark Scalar Quantization Sq8 Vector Compressor Skill в Claude Desktop, Claude Code или Cursor?
Открой Genpark Scalar Quantization Sq8 Vector Compressor Skill на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
Roblox Studio
Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, sce
автор: paralovAWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzMCP-Agent
A simple, composable framework to build agents using Model Context Protocol by [LastMile AI](https://www.lastmileai.dev)
автор: lastmile-aiSpring AI MCP Client
Provides auto-configuration for MCP client functionality in Spring Boot applications.
mcp.natoma.ai
A Hosted MCP Platform to discover, install, manage and deploy MCP servers by [Natoma Labs](https://www.natoma.ai)
MCPHub
Website to list high quality MCP servers and reviews by real users. Also provide online chatbot for popular LLM models with MCP server support.
MCP Servers Rating and User Reviews
Website to rate MCP servers, write authentic user reviews, and [search engine for agent & mcp](http://www.deepnlp.org/search/agent)
Compare Genpark Scalar Quantization Sq8 Vector Compressor Skill with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
