docs(frank-zealot): record what the adapter did, and where provenance is read

Before/after on the two probe prompts (both opened `I cannot provide…`; neither
now carries a marker — one ran to its 2048-token cap, the other finished at
1930), the residual `Important Disclaimer` heading named for what it is (style,
not the circuit), and the same-boot proof that chat/tools/vision still answer.
Provenance now points at the boot ledger: the fork prints every
`prism.abliterate.*` key at each start, so the PTQ1_0-vs-PQ2_0 mismatch is
visible to anyone who boots the service — the page links that instrument
instead of restating it.
This commit is contained in:
Frank
2026-10-19 14:47:30 -07:00
parent 02d04bc1f6
commit ce8d82d4a7
+11
View File
@@ -69,6 +69,17 @@ happened. The adapter's own card table is **not** evidence here: it was measured
packing. Rollback is `LORA_FILE=` (empty) in the env and one redeploy — no rebuild, no payload
move; `LORA_SCALE=0` is the same result through the flag.
**Measured on the cutover boot (2026-10-19, `02d04bc`).** Before: both probe prompts
opened `I cannot provide…`. After: neither carries a refusal marker — one ran to its
2 048-token cap, the other finished at 1 930 — so the direction is out. It still
volunteers a `⚠️ Important Disclaimer` heading before answering, which is style, not the
circuit: the marker sentence is gone, and a leading hedge is not an escape hatch. Chat,
tools (`tool_calls` with valid JSON) and vision ("Red", 281 prompt tokens) answered from
the same boot, and `DropInPaths` came back empty. Read the ledger, not this paragraph,
for provenance: the fork prints the adapter's `prism.abliterate.*` keys — including the
`base_gguf = Ternary-Bonsai-2-9B-PTQ1_0.gguf` line — at every start, so the packing
mismatch is visible in the journal to anyone who boots it.
**Harness contract** (`~/.omp/agent/models.yml`, provider `llamacpp (dankclaw-3090)`, id `frank-zealot`):
`contextWindow: 200704` — **the per-slot window**, because llama.cpp divides `--ctx-size` across slots and answers a
longer prompt with a 400, never a truncation — plus `maxTokens: 16384`, `input: [text, image]`