GenPark AI Agent Skill - Rejection sampling and logit verification engine for speculative decoding acceleration.
GenPark AI Agent Skill - Speculative Decoding Draft Acceptance Evaluator
Implements rejection sampling and token verification routines to accelerate large LLM inference using fast draft models.
Verified by GenPark AI and compatible with Model Context Protocol (MCP).
Features - Rejection Sampling Correctness: Guarantees target distribution output mathematical equivalence. - Zero External Dependencies: Pure Python 3.9+ standard library.
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/alphaparkinc--genpark-speculative-decoding-draft-acceptance-evaluator-skill.html)
GenPark AI Agent Skill - Simulates vLLM PagedAttention non-contiguous virtual memory block table allocation for dynamic KV-cache management.
alphaparkinc/genpark-multi-gpu-tensor-parallel-sharding-planner-skillGenPark AI Agent Skill - Calculates tensor parallelism column and row weight matrix partition splits across distributed GPU clusters.
Alpha-Park/genpark-speculative-decoding-draft-acceptance-evaluator-skillGenPark AI Agent Skill - Rejection sampling and logit verification engine for speculative decoding acceleration.
alphaparkinc/genpark-gguf-tensor-metadata-header-validator-skillGenPark AI Agent Skill - Validates GGUF/GGML model binary headers, tensor alignment, KV-cache parameters and architecture keys.
Alpha-Park/genpark-weight-quantization-kquants-block-packer-skillGenPark AI Agent Skill - Simulates k-quants block compression (Q4_K_M, Q8_0) packing FP16 weights into quantized blocks with scale factors.
Alpha-Park/genpark-multi-gpu-tensor-parallel-sharding-planner-skillGenPark AI Agent Skill - Calculates tensor parallelism column and row weight matrix partition splits across distributed GPU clusters.
The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.