ZacharyZhang-NY
0ee99e271d
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.
42 lines
987 B
PowerShell
42 lines
987 B
PowerShell
param(
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[int]$MaxSteps = 37,
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[int]$Rank = 16,
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[int]$Alpha = 32,
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[int]$MaxLength = 8192,
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[int]$GradientAccumulationSteps = 4,
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[string]$CartridgeId = ""
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)
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$ErrorActionPreference = "Stop"
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$root = Split-Path -Parent $PSScriptRoot
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Set-Location $root
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$dataset = Join-Path $root ".ely_eye\training\hme_prd_sft.jsonl"
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$adapter = Join-Path $root ".ely_eye\adapters\hme_core_lora_qwen35_9b"
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.\.venv\Scripts\ely-eye.exe build-prd-training-data `
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--prd-path .\PRD.md `
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--output-path $dataset `
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--max-sections 48
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$args = @(
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"train-lora",
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$dataset,
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$adapter,
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"--max-steps", "$MaxSteps",
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"--kind", "hme_core_lora",
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"--rank", "$Rank",
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"--alpha", "$Alpha",
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"--max-length", "$MaxLength",
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"--gradient-accumulation-steps", "$GradientAccumulationSteps"
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)
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if ($CartridgeId.Length -gt 0) {
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$args += @("--cartridge-id", $CartridgeId)
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}
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.\.venv\Scripts\ely-eye.exe @args
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Write-Host "Adapter ready: $adapter"
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Write-Host "Use with: `$env:ELY_EYE_ADAPTER_DIR='$adapter'"
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