frank-large: swap to the uncensored Q6_0_ROCMFPX_AGENT payload

Frank's order: replace frank-large with
kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF's
Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf, following that card.

The file is ftype 114 — 339 GGML_TYPE_Q6_0_ROCMFPX (102) + 159
GGML_TYPE_Q8_0_ROCMFPX (103) + 353 F32 over 851 tensors,
qwen35/64 layers/full_attention_interval 4/4 KV heads/262,144 window —
read out of its own header. The pinned ROCmFPX build already knows both
types (ggml.h 102/103 plus convert/cpy/getrows/mmq/fattn device paths
for 102), so no rebuild: the fork stays at 36e9acd and the payload
directory is the only new host state.

Card compliance, all already our flags: Q4_0 draft head (not Q8_0),
--spec-draft-n-max 4 (the knee on both cards), --spec-draft-ngl 99,
--jinja, --fit off, -fa on, -dio, one slot at full window, thinking with
the card's own sampling triple (which the file also embeds as its
general.sampling defaults). Kept from the deployed shape: the BF16
projector (this repo ships only a Q8_0 one; BF16 is the file verified
4/4 on spatial ground truth here) and the byte-identical MTP head, which
the new script hardlinks instead of re-fetching 1.6 GiB.

Franksdank-Runbook: serverAppConfigs-docs/LLM/frank-large-rocmfpx-q6agent-uncensored-mtp.md

scripts/frank-large.env

@@ -1,37 +1,47 @@
 # frank-large — ROCmFPX llama.cpp serving
-# kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF (Q8_0_ROCMFPX_AGENT, ftype
-# 115) + its Q4_0 MTP draft head, on the Strix Halo iGPU (gfx1151), :7770.
+# kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUF
+# (Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT, ftype 114) + its Q4_0 MTP draft
+# head, on the Strix Halo iGPU (gfx1151), :7770.
 #
-# 2026-10-02 (Frank): "the highest quality of that repo, one full context,
-# whatever runtime it requires". The highest-quality rung is Q8_0_ROCMFPX_AGENT
-# (26.28 GiB, 8.39 bpw: 187 tensors at plain Q8_0 + 311 at
-# GGML_TYPE_Q8_0_ROCMFPX); the AGENT routing is also the variant the card
-# tells you to take with MTP, because it keeps the output-head tensors at full
-# Q8_0 (187 vs 2), which is what the draft scores against. The runtime the
-# format REQUIRES is the ROCmFPX fork — type 103 exists nowhere else.
+# 2026-10-03 (Frank): swapped from the ALIGNED Q8_0_ROCMFPX_AGENT (ftype 115)
+# to this repo's Q6 AGENT rung — same card, same recipe, abliterated weights.
+# The card is blunt about what that buys: refusal counts go from 23/24 refuse
+# to 23/24 comply with the quality score byte-identical (6/8 both arms), and
+# "abliteration removes content-refusal. It does not add capability." It costs
+# one quant rung: 8.39 bpw → ~6.6 bpw, 26.28 GiB → 23.15 GiB.
 #
-# The shape: one session at the model's full native window (262,144), which is
-# the whole point — the Q8_0 head costs quality the fleet wanted back, and
-# the draft head pays for the bandwidth the bigger file spends.
+# What the file actually contains (read out of its own GGUF header, not from
+# the card): arch qwen35, 64 layers, full_attention_interval 4, 24 heads /
+# 4 KV heads / 256 head_dim, context_length 262144, and 851 tensors — 353 F32
+# + 339 GGML_TYPE_Q6_0_ROCMFPX (102) + 159 GGML_TYPE_Q8_0_ROCMFPX (103). The
+# AGENT routing is what puts the embeddings, the output head and every fourth
+# attention projection at the Q8 rung. Two custom tensor types, both fork-only
+# → the runtime is chosen by the file, exactly as it was for ftype 115.
+#
+# The shape is unchanged: one session at the model's full native window, MTP
+# drafting at n-max 4, unquantized KV.
 #
 # Budget (from the GGUF header, not from a boot log): attention KV lives only
 # in the 16 full-attention layers (4 KV heads x 256 head_dim), 64 KiB/token
 # with f16 K and V => 16.0 GiB at 262,144. The 48 Gated DeltaNet layers hold
-# ~144 MiB of fixed state per sequence. Weights 26.28 + draft head 1.57 +
-# mmproj 0.87 + KV 16.0 + state 0.14 + compute buffers ≈ 45-47 GiB against the
+# ~144 MiB of fixed state per sequence. Weights 23.15 + draft head 1.57 +
+# mmproj 0.87 + KV 16.0 + state 0.14 + compute buffers ≈ 42-44 GiB against the
 # iGPU's ~114 GiB GTT aperture, so f16 KV (the unquantized choice) is affordable
 # here in a way it is not on frank-small's 24 GiB card.
-
-# The qualified ROCmFPX fork build (scripts/build-rocmfpx.sh pins the commit).
 LLAMA_BIN=/home/dank/GitPackages/kingjones-ROCmFPX/build/bin/llama-server
-# One directory per HF repo, created by scripts/download-frank-large-kingjones.sh.
-MODEL_FILE=/home/dank/models/kingjones-Qwen3.8-27B-ROCmFP4-STRIX-MTP/Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf
+# One directory per HF repo, created by
+# scripts/download-frank-large-kingjones-uncensored.sh.
+MODEL_FILE=/home/dank/models/kingjones-Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP/Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf
 # The draft head: Q4_0, NOT the Q8_0 head. The head's per-step cost is its
 # projection over a 248K vocabulary, so the cheaper head is faster end to end
 # at equal-or-better acceptance (card: +6.0% at n-max 1, +10.2% at n-max 2).
-DRAFT_FILE=/home/dank/models/kingjones-Qwen3.8-27B-ROCmFP4-STRIX-MTP/mtp-Qwen3.8-27B-Q4_0.gguf
-# Vision tower, separate from the LLM file. Empty string = text-only.
-MMPROJ_FILE=/home/dank/models/kingjones-Qwen3.8-27B-ROCmFP4-STRIX-MTP/mmproj-Qwen3.8-27B-BF16.gguf
+# The uncensored repo redistributes this file byte for byte (same Hub LFS oid);
+# the download script hardlinks the verified copy instead of re-fetching 1.6 GiB.
+DRAFT_FILE=/home/dank/models/kingjones-Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP/mtp-Qwen3.8-27B-Q4_0.gguf
+# Vision tower, separate from the LLM file. This repo ships a Q8_0 projector;
+# the fleet keeps the BF16 one, which is the file verified 4/4 on spatial
+# ground truth on this host (hardlinked here, same bytes). Empty = text-only.
+MMPROJ_FILE=/home/dank/models/kingjones-Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP/mmproj-Qwen3.8-27B-BF16.gguf
 
 # Fleet endpoint: same port and alias as every frank-large before it, so the
 # harness models.yml id and the homepage probe do not move.
@@ -42,15 +52,16 @@ BIND_ADDR=0.0.0.0
 LISTEN_PORT=7770
 
 # One full native window. llama.cpp divides --ctx-size across --parallel
-# slots, so 262144/1 IS the model's trained window; the card validated 65,536
-# and the fleet has been running this family at 262,144 since the gufo era.
+# slots, so 262144/1 IS the window the file itself declares
+# (qwen35.context_length = 262144); the card only validated 65,536 and the
+# fleet has been running this family at 262,144 since the gufo era.
 CTX_SIZE=262144
 PARALLEL=1
 
 # Deck knobs. --ubatch-size has a measured optimum on this stack (512 peak on
 # the sibling qwen35 model; larger ubatch costs GiBs of compute buffer for no
 # speed), and --fit must stay off: --fit's auto placement does not know that
-# 311 tensors of type 103 belong on the iGPU.
+# 498 tensors of types 102 and 103 belong on the iGPU.
 BATCH_SIZE=2048
 UBATCH_SIZE=512
 NGL=999
@@ -61,10 +72,11 @@ CACHE_TYPE_K=f16
 CACHE_TYPE_V=f16
 
 # Speculative decode: the model ships a standalone MTP head (mtp-Q4_0.gguf,
-# arch qwen35, nextn_predict_layers=1, a 65-block draft). n-max 4 with n-min 0
-# and p-min 0.0 is the card's measured optimum (+31% end to end, acceptance
-# 0.926; its own n-max 8 measurement only reached 0.757 acceptance and LOST).
-# The draft runs entirely on the iGPU, so cross-device traffic stays off the
+# arch qwen35, nextn_predict_layers=1, a 65-block draft). n-max 4 is the knee
+# on BOTH cards: aligned 30.13 / 30.30 / 27.52 at n=3/4/5 (acceptance 0.926 at
+# the knee, and n-max 8 measured WORSE at 0.757), uncensored Q6 24.96 / 27.66
+# / 25.27. n-min 0 and p-min 0.0 are the card's own recipe. The draft runs
+# entirely on the iGPU, so cross-device traffic stays off the
 # bandwidth-limited link.
 SPEC_TYPE=draft-mtp
 SPEC_DRAFT_NGL=99
@@ -73,8 +85,14 @@ SPEC_DRAFT_N_MAX=4
 SPEC_DRAFT_N_MIN=0
 SPEC_DRAFT_P_MIN=0.0
 
-# The card's thinking sampling profile, which is also what the harness sends
-# in extraBody, so the endpoint behaves the same to a client that omits it.
+# The card's thinking sampling profile — the same triple the file embeds as
+# its own defaults (general.sampling.temp/top_p/top_k = 1.0 / 0.95 / 20) and
+# what the harness sends in extraBody, so the endpoint behaves the same to a
+# client that omits it. Card traps that do NOT bite here, but do not "fix"
+# them by changing this: reasoning_effort "none" THROWS (use
+# chat_template_kwargs enable_thinking:false), and a small max_tokens with
+# thinking on returns empty content — the serve script runs
+# --reasoning-budget -1, so the budget is never the limiter.
 TEMPERATURE=1.0
 TOP_P=0.95
 TOP_K=20