Phase 7 of the vision-LLM benchmark plan. Adds: - docs/benchmarks/2026-05-10-vision-llm.md — curated report (TL;DR, per-model analysis, top-N agreement, cost vs cloud APIs, sample captions). Verdict: qwen3vl-4b for the request path (3.55 s p50, 100% parse, decisive top-N distro); qwen3vl-8b for caption polish. - docs/benchmarks/benchmark-2026-05-10-1424.json — raw 300-row dump for diff-checking against future runs. - main.tf: -fa -> -fa on (b9085 llama.cpp removed the no-value form of the flash-attention flag; without the value llama-server exits before serving any request). - llama-cpp.md architecture doc links the report so future operators land on the deployed-and-evaluated model from one entry point. 300/300 calls, 0 parse errors, 33m32s wall on a single T4 with the GPU exclusively allocated. immich-ml was scaled to 0 for the run (node1 RAM constraint, not GPU - bumping node1 RAM is tracked as a follow-up). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
7 lines
231 B
HCL
7 lines
231 B
HCL
# Generated by Terragrunt. Sig: nIlQXj57tbuaRZEa
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terraform {
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backend "pg" {
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conn_str = "postgres://terraform_state:ts7DGcKmTTY-5ujz4mhh@10.0.20.200:5432/terraform_state?sslmode=disable"
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schema_name = "jsoncrack"
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}
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}
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