feat(local-model): list every model that fits, and add Muse Glimmer 30B

The "Run a local model" chooser showed the pick and four more models. It now
lists every catalogue model that fits the Mac, and the install accepts every
listed row.

- MAX_ALTERNATIVES goes from 4 to 11, above what the catalogue holds. It stays
  a bound: test/local-model-catalog.test.ts fails for a catalogue that outgrows
  it, so nothing drops off the list unseen.
- New row `muse-glimmer:30b-q4_k_m` (Meta, Apache-2.0): SWE-bench Verified 76.0,
  SWE-bench Pro 51.2, Terminal-Bench 2.1 51.7 on Meta's card. Its K/V cache is
  the smallest of the 27B class, so it is the first model of that class a 32 GB
  Mac holds: 21.2 GB at 65,536 tokens, 0.970 of the estimated budget. Figures
  computed from its config.json and its GGUF header by the llamacpp rule (13
  full-attention layers, 39 sliding-window layers of 2,048 tokens, no
  prediction layer); the sliding-window cache rule was read again in llama.cpp
  b12111 (src/llama-kv-cache-iswa.cpp). Never run on a Mac: `estimated`.
- What changes for a Mac: 32 GB is no longer `limited`. On an M1 Max or M2 Max
  the pick is Muse Glimmer; on a base or Pro chip the dense model is slow and
  the pick stays MiMo V2.6 9B, now with the small-pick note. Every other pick
  is unchanged.
- The "set aside" list was read again at its sources on 2026-11-10 and gained
  ripple-preview:65b (every build requires runtime 0.40.16, one above the pin),
  Ornith 1.0 (runtime issue 16992), nemotron-3.5-super:120b, qwen3.5:4b,
  qwen3-coder-next and the MLX and DFlash tags of Muse Glimmer.
- The header and the guide now say that runtime issue 16992 has one diagnosed
  cause in the tool parser every Qwen-family row shares (a tool argument that
  quotes a whole tool call is cut off; the fix is runtime PR 17021, open).

Co-Authored-By: Claude Fable 5.2 <noreply@anthropic.com>

src/local-model/recommend.ts

@@ -28,9 +28,10 @@
  *    gated, installed or installable, and accepting the model id.
  *  - Ranking, lexicographic: tested on a Mac like this before not tested (a measurement beats
  *    a formula); ok before unknown before slow; the higher model rank; the higher harness
- *    rank; the larger context. The pick is the first candidate, the alternatives are the next
- *    four MODELS, each at its own best context and harness, so a model is always offered at
- *    the largest context it fits at.
+ *    rank; the larger context. The pick is the first candidate, the alternatives are EVERY
+ *    other model that fits (`MAX_ALTERNATIVES` is above what the catalogue holds), each at its
+ *    own best context and harness, so a model is always offered at the largest context it
+ *    fits at.
  *  - Disk: a model whose download would leave less than 10 GiB free is not offered. It is not
  *    dropped in silence: the best-ranked model left out that way is named in `noteDiskDropped`
  *    with what is missing.
@@ -109,8 +110,13 @@ export const SLOW_BELOW_TOKENS_PER_SECOND = 10;
 export const LIMITED_BELOW_PARAMS_B = 12;
 /** What must stay free on the disk after the model download. */
 export const DISK_HEADROOM_BYTES = 10 * GIB;
-/** How many other models are listed under the pick. */
-export const MAX_ALTERNATIVES = 4;
+/**
+ * How many other models are listed under the pick, at most. Above what the stock catalogue
+ * holds (9 models: 8 beside the pick), so a Mac is shown every model that fits it and the
+ * install accepts every one of them. Still a bound: test/local-model-catalog.test.ts fails for
+ * a catalogue that outgrows it, so nothing drops out of the list unseen.
+ */
+export const MAX_ALTERNATIVES = 11;
 
 /** A memory size of at least this many GB (as sold) gets 3/4 of its memory as device limit, below it 2/3. */
 const LARGE_LIMIT_FROM_GB = 36;