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vllm-serve

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A tiered-memory system design for workloads that don't fit in RAM: measure the working set, pin the hot tier, stream the cold tier from flash. Ships the residency calculator, measurement harnesses, and the build recipes behind it. Predictions validated against public benchmarks.

  • Updated Sep 21, 2026
  • Python

agentsculptor is an experimental AI-powered development agent designed to analyze, refactor, and extend Python projects automatically. It uses an OpenAI-like planner–executor loop on top of a vLLM backend, combining project context analysis, structured tool calls, and iterative refinement. It has only been tested with gpt-oss-120b via vLLM.

  • Updated Sep 17, 2025
  • Python

Run GGUF through llama.cpp and SafeTensors through vLLM behind one OpenAI-compatible endpoint. Your coding tools select a model; the switchboard manages the local runtime, process, and resident-model change.

  • Updated Sep 21, 2026
  • Rust

Measurement harness for the sliding window attention premium in the vLLM TPU Ragged Paged Attention v3 kernel: per layer decode cost, block size control, throughput, and goodput for Gemma 4 31B on TPU v6e.

  • Updated Jul 29, 2026
  • Python

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