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.
27 lines
675 B
PowerShell
27 lines
675 B
PowerShell
$ErrorActionPreference = "Stop"
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Set-Location (Split-Path -Parent $PSScriptRoot)
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if (-not (Get-Command wsl.exe -ErrorAction SilentlyContinue)) {
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throw "WSL is required for the SGLang Linux runtime."
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}
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$wslRoot = (wsl.exe -d Ubuntu wslpath -a (Get-Location).Path).Trim()
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$command = @"
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set -euo pipefail
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cd "$wslRoot"
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source .venv-linux/bin/activate
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python -m sglang.launch_server \
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--model-path Qwen/Qwen3.5-9B \
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--port 8000 \
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--tp-size 1 \
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--mem-fraction-static 0.82 \
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--context-length 262144 \
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--reasoning-parser qwen3 \
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--speculative-algo NEXTN \
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--speculative-num-steps 3 \
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--speculative-num-draft-tokens 4
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"@
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wsl.exe -d Ubuntu -- bash -lc $command
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