frank-secondary: swap Swift-1.5 RCO-IQ3_XXS -> Gemma4-26B-A4B QAT Q4_K_M
Payload: HauhauCS/Gemma4-26B-A4B-QAT-Uncensored Q4_K_M (16,796,015,520 B) + the publisher's BF16 mmproj, /home/dank/models/Gemma4-26B-A4B/. Shape: ONE 200,704-token slot (--parallel 1; 2x200,704 does not fit the 24 GiB card), f16 K + q8_0 V under flash attention, batch 4096 / ubatch 1024, --log-verbosity 4, MTP OFF (the gemma4-assistant file is on disk, not loaded: its draft KV is built against the target's full window, measured +1.9 GiB -> 23,806/319 free, no margin beside the f16-K raise). Measured boots (nvidia-smi): q8_0 K + q8_0 V / ubatch 2048 / MTP off = 21,890 used / 2,235 free; with the MTP assistant = 23,806 / 319. Engine facts recorded: gemma4 hybrid attention (25 sliding-window + 5 full-attention layers) so KV scales with 5 layers only, and attention_k_eq_v is honoured by build 5fc4f3c (pool bills K-only; the measured q8_0 pool = 2.05 GiB = the K-only figure). Serve script gained VERBOSITY (+ --log-verbosity in the argv), the SPEC_DRAFT_FILE drafter path, and defaults/lore retargeted to Gemma4. deploy-remote.sh payload gates follow the env. The frank-secondary bats seam is rewritten for the new contract (argv-based) and fixes a pre-existing vacuity: serve_argv regenerates the test env, so mutations made before it were silently undone - tests that mutate now exec through run_stage. frank-secondary is the fleet compaction hub (200,704 is the only window that fits a worst-case compaction input).
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@@ -1225,13 +1225,13 @@ deploy_llm_large() {
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#
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# It is a SEPARATE endpoint on port 7771; frank-large keeps 7770. The 3090 is
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# not shared: frank-large's engine runs on the gfx1151 iGPU.
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LLM_SECONDARY_MODEL_FILE="${LLM_SECONDARY_MODEL_FILE:-/home/dank/models/Swift15-UncIQ3XXS/Swift-1.5-Qwen3.8-27B-Uncensored-Dynamic-MTP-RCO-IQ3_XXS.gguf}"
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LLM_SECONDARY_MODEL_FILE="${LLM_SECONDARY_MODEL_FILE:-/home/dank/models/Gemma4-26B-A4B/Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-Q4_K_M.gguf}"
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LLM_SECONDARY_RUNTIME="${LLM_SECONDARY_RUNTIME:-/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server}"
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# The projector IS the vision capability here: the GGUF carries no vision
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# tensors, and the publisher ships mmproj-BF16.gguf in the same repo, so a
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# deploy that starts without this file silently ships a text-only
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# tensors, and the publisher ships its own BF16 projector in the same repo, so
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# a deploy that starts without this file silently ships a text-only
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# endpoint. Checked unconditionally, like frank-large's.
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LLM_SECONDARY_MMPROJ="${LLM_SECONDARY_MMPROJ:-/home/dank/models/Swift15-UncIQ3XXS/mmproj-BF16.gguf}"
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LLM_SECONDARY_MMPROJ="${LLM_SECONDARY_MMPROJ:-/home/dank/models/Gemma4-26B-A4B/mmproj-Gemma4-26B-A4B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf}"
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deploy_llm_secondary() {
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# Refuse rather than restart-loop: a unit whose runtime or payload is
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