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alphaparkinc/genpark-paged-attention-kv-cache-block-allocator-skill

GenPark AI Agent Skill - Simulates vLLM PagedAttention non-contiguous virtual memory block table allocation for dynamic KV-cache management.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-11
ai-agentsedge-aigenparkggufllamacppmcpmodel-context-protocolmodel-shardingproduct-huntquantizationvllm
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About genpark-paged-attention-kv-cache-block-allocator-skill

GenPark AI Agent Skill - PagedAttention KV-Cache Block Allocator

Simulates PagedAttention non-contiguous virtual memory block table allocation for dynamic KV-cache management.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Features - OS Paging Semantics: Maps logical token indices to physical block frames without requiring continuous memory. - Zero External Dependencies: Pure Python 3.9+ standard library.

From the project README.

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