bump llama.cpp to a5dc597b8: one-token decode at any head size, and a clang build has its HRX0 again (fixes #1926, #1942)

docs/hrx.md

@@ -252,6 +252,23 @@ decode-path logits (`llama-perplexity -c 2049 -b 1 --save-all-logits`) are byte-
 to the previous pin, the buried code word is exact at 4700 tokens, and no GPU faults
 were observed.
 
+### Fixed: one-token decode at a head size that is not a power of two ([engine#1926](https://github.com/1bit-MONSTER/engine/issues/1926))
+
+A model whose attention head size is not a power of two (stories15M: 48; Sarashina2.2-3B: 160) and whose
+Q weights are not Q4_K or Q6_K loaded and prefilled on `HRX0`, then failed at the first decode step:
+`HRX Loom JIT Loom compilation failed`, `llama_decode: failed to decode, ret = -3`. The one-token Q
+projection kernel wrote each rotated pair at `channel rem head_size`, and the kernel compiler can only
+prove that two-wide store in bounds when the remainder is a mask. The kernel now indexes by rotation
+pair, which is in bounds at every head size (llama.cpp #282). Q4_K and Q6_K models took a different
+kernel at one token and were not affected.
+
+Measured at pin `a5dc597b8` on gfx1151 (2026-11-10, power mode `performance`):
+`test-hrx-attention-q-decode-head-size` compares the fused projection with the CPU backend at head
+sizes 48, 96 and 160 (controls 64 and 128) on BF16, F16 and Q8_0 weights: 9 of 15 cases failed before
+the fix, 0 of 15 after. `llama-bench -p 512 -n 128 -r 3`, two runs each: Sarashina2.2-3B bf16 decodes
+at 26.49 and 25.92 tok/s, stories15M Q8_0 at 317.77 and 338.54 tok/s (the box was shared; the same
+binary gave 545.39 tok/s on a quieter run).
+
 ### MoE decode and the kernel cache (llama.cpp #32, #33)
 
 - **MoE decode.** With one to four tokens, a `MUL_MAT_ID` (a MoE expert matmul) runs as a GEMV over

registry/architectures.json

@@ -1,7 +1,7 @@
 {
  "about": "HF architecture -> GGUF architecture and the backends whose code accepts it. Generated by tools/registry_build.py from the pinned sources; do not edit.",
  "sources": {
-  "llama.cpp (hrx)": "2d62cc7afdae961bce83abcdb54dd95a17db7b50"
+  "llama.cpp (hrx)": "a5dc597b81f10c1fd29356018e56da074380ce60"
  },
  "counts": {
   "hrx": 298,