frank-primary: pin the -ot override set to the real tensor names
Discovery, not guesswork: dump the GGUF v3 headers of the fetched parts (scripts/dump-gguf.py, added — a dependency-free reader that never touches tensor data, so a 50 GiB part scans in milliseconds) before the first load. What the dump says (parts 2-3, 2026-09-26): - The 51B-param PLE n-gram table is ONE tensor: per_layer_token_embd. weight, dims [160, 320001536], Q8_0, 54.4 GiB — exactly the whole of part 3. It is the same tensor the shared MTP head borrows, so the =CPU override is required for placement AND for the draft load (GPU-resident borrow: "invalid vector subscript"). - The model is qwen4exp, 512 experts, top-10 routing (qwen4exp.ple.ngram_size=3, heads_per_ngram=8). - Part 1 is metadata-only (ntensors=0); parts 2-6 carry tensors. The placeholder pattern ngram_embeddings matched nothing — dropped from OT_OVERRIDES (env, serve-script default, seam, AGENTS.md, runbook, LLM index) before it could masquerade as a working override at load time. Deployed set: exps=CPU,per_layer_token_embd.weight=CPU. Suite: 346 green.
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@@ -24,7 +24,7 @@ merge absorbed the former `vllmScripts` repo, history preserved).
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| Target | Service | Runtime | Model | Port |
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|--------|---------|---------|-------|------|
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| Dankserver | `frank-primary` | unsloth llama.cpp b11030-mix prebuilt (ROCm gfx120X, bundled runtime, root systemd unit) | unsloth Qwen3.8-Flash-Next-GGUF Q_8 (175.30 GiB, 6 split parts) with the shared Q_8 MTP head (depth 2) chained behind `ngram-mod`, BF16 vision (mmproj), layer split `-ts 1,1` across both R9700s with the routed experts + 51B-param n-gram table computed in host RAM (`-ot exps=CPU,ngram_embeddings=CPU,per_layer_token_embd.weight=CPU` — the shared-head borrow path needs the last), 262144 ctx single stream (1 slot), mmap on, `--cache-ram 16384` | 7770 |
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| Dankserver | `frank-primary` | unsloth llama.cpp b11030-mix prebuilt (ROCm gfx120X, bundled runtime, root systemd unit) | unsloth Qwen3.8-Flash-Next-GGUF Q_8 (175.30 GiB, 6 split parts) with the shared Q_8 MTP head (depth 2) chained behind `ngram-mod`, BF16 vision (mmproj), layer split `-ts 1,1` across both R9700s with the routed experts + 51B-param n-gram table computed in host RAM (`-ot exps=CPU,per_layer_token_embd.weight=CPU` — the shared-head borrow path needs the last), 262144 ctx single stream (1 slot), mmap on, `--cache-ram 16384` | 7770 |
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| Dankclaw | `frank-large` | unsloth llama.cpp b11030 prebuilt (ROCm gfx1151, root systemd unit) | unsloth Qwen3.8-27B-GGUF:UD-Q8_K_XL (27B dense, 31.5 GiB) with the z-lab DFlash2 Q4_K_M drafter (depth 4) on the gfx1151 iGPU (Strix Halo LPDDR, 114 GiB GTT), 262144 ctx single stream (1 slot), q8_0 KV, text only | 7770 |
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| Dankclaw | `frank-small` | mainline llama.cpp master 37b53fd (root systemd unit) | HauhauCS Gemma4-12B-QAT-Uncensored-Balanced Q4_K_M (BF16 mmproj + MTP assistant sidecar, `draft-mtp,ngram-mod`) on the RTX 3090, 1048576 pool / 4 slots of 262,144, q8_0 KV, the fleet's fastest vision endpoint | 7771 |
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@@ -355,7 +355,7 @@ old) on 2026-09-26, which had replaced radiance frank-medium the same day.
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**Placement: compute the experts in RAM, never stream them.** Layer split
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`-ts 1,1` with `-ngl 999`; the routed experts and the 51B-param n-gram
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(PLE) table are overridden to CPU (`-ot
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exps=CPU,ngram_embeddings=CPU,per_layer_token_embd.weight=CPU`) and computed
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exps=CPU,per_layer_token_embd.weight=CPU`) and computed
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from the mmap page cache — the x4-pair law (streaming over PCIe loses at
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3.7 t/s; computing in RAM does not care). `per_layer_token_embd.weight=CPU`
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is REQUIRED by the shared MTP head's borrow path (a GPU-resident borrow
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