repoGitHubTrust 82 · PrimaryPublished 15h agoLive · 15h ago
ModelEngine-Group/unified-cache-management
Persist and reuse KV Cache to speedup your LLM.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsI compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]newsBiggest, baddest model to fill 144GB VRAM + 120GB RAM to the brim, regardless of speednewsBest tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM?
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newsI compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsBest tps can I get with Qwen3.5 122B on 32GB VRAM + 64GB RAM?tutorialEvaluate a model properlynewsBiggest, baddest model to fill 144GB VRAM + 120GB RAM to the brim, regardless of speed
