Muse-Glimmer-30B-ROCm

The reproducible RDNA reference for Meta Muse-Glimmer-30B — from
MI-series recipes to Ryzen AI and Radeon.

What you get:

• Run a ~30B multimodal reasoning/tool-use model locally on validated Ryzen
  AI-class hardware (Radeon 8060S, gfx1151) with a one-command quickstart.
• Measured, not guessed, speedups — DFlash speculative decoding delivers
  2.2–2.5× single-stream; concurrency tradeoffs are benchmarked, including
  the pitfalls (see known good and known bad).
• A reviewed CDNA → RDNA adaptation map — reuse the
  engineering delta instead of rediscovering it.
• Evidence-first claims: every number links to raw cells with exact flags,
  hashes and manifests. Failures are preserved as findings, not hidden.
• A protocol to contribute Radeon evidence that is comparable rather than
  anecdotal (hardware validation).

Method: Adapt → Validate → Benchmark → Explain → Reproduce.

Actually validated here: AMD Ryzen AI MAX+ PRO 395 / Radeon 8060S,
gfx1151 (RDNA 3.5). Every additional platform remains evidence-gated by the matrix below.

Performance highlights

gfx1151 rows validated on ROCm 7.14.0 via the GGUF/llama.cpp matrix
(docs/results/matrix-714/). The W7900
(gfx1100) rows are community-validated and independently reproduced on
ROCm 7.14.0 (recommended default) and 7.2.1
(W7900 results).

Single-stream (Study 1, greedy, Meta-aligned DFlash anchor):

Configuration	Baseline	DFlash	Speedup
gfx1151, K-Quant-17GB	10.42 tok/s	23.08 tok/s	2.22×
gfx1151, dynamic K-Quant	9.11 tok/s	22.49 tok/s	2.47×
W7900 (gfx1100), K-Quant-17GB	33.21 tok/s	61.45 tok/s	1.85×

W7900 rows: ROCm 7.14.0, draft acceptance ~0.24 — raw cells:
[cells-rocm-7.14.0](docs/results/hardware-validation/w7900-gfx1100/cell