Ely-Eye — local multimodal context operating system on Qwen3.5-9B

Real-models implementation: multimodal ingestion, Context Cartridge memory,
sparse + Qwen embedding retrieval, Cache Fabric, Qwen runtime adapters, verifier
contracts, Visual HashHop proofs, BF16 LoRA fine-tuning, and a local dashboard.
Verified by a 15-check PRD proof suite on the live model.

scripts/launch-vllm-live.ps1

@@ -0,0 +1,24 @@
+$ErrorActionPreference = "Stop"
+
+Set-Location (Split-Path -Parent $PSScriptRoot)
+
+if (-not (Get-Command wsl.exe -ErrorAction SilentlyContinue)) {
+  throw "WSL is required for the vLLM Linux runtime."
+}
+
+$wslRoot = (wsl.exe -d Ubuntu wslpath -a (Get-Location).Path).Trim()
+$command = @"
+set -euo pipefail
+cd "$wslRoot"
+source .venv-linux-vllm/bin/activate
+python -m vllm.entrypoints.openai.api_server \
+  --model Qwen/Qwen3.5-9B \
+  --host 127.0.0.1 \
+  --port 8001 \
+  --max-model-len 262144 \
+  --enable-prefix-caching \
+  --gpu-memory-utilization 0.82 \
+  --trust-remote-code
+"@
+
+wsl.exe -d Ubuntu -- bash -lc $command