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.
24 lines
607 B
PowerShell
24 lines
607 B
PowerShell
$ErrorActionPreference = "Stop"
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Set-Location (Split-Path -Parent $PSScriptRoot)
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if (-not (Get-Command wsl.exe -ErrorAction SilentlyContinue)) {
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throw "WSL is required for the KTransformers Linux runtime."
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}
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$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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export SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN=1
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python -m sglang.launch_server \
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--model-path Qwen/Qwen3.5-9B \
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--port 8002 \
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--context-length 1010000 \
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--kt-cpuinfer 16 \
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--cpu-offload-gb 48
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"@
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wsl.exe -d Ubuntu -- bash -lc $command
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