@hoperealize

contributor on implexa, with 1 skill ranked by SkillRank across 1 source.

skills

avg SkillRank

7.2

1 scored / 1 total

total stars

—

across 1 repo

total installs

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across 1 repo

skills, ranked by SkillRank

score	source	skill
7.2	clawhub	llama-params-optimizer llama-params-optimizer provides a systematic 4-phase 10-step methodology for tuning local llm startup parameters on any hardware. core strategy centers on finding the gpu memory sweet spot where context window maximizes without degrading throughput, validated through control variable testing across batch size, threads, quantization, and flashattention settings.