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>

docs/api-reference.md

@@ -1766,7 +1766,7 @@ A probe that fails is an answer, not an error: a server that is not on macOS, or
   - `verdict`: `ok`, `limited` or `none`. `limited` is a statement about the Mac: no model with 12 billion parameters or more fits its memory, so what it can run handles small edits and questions and does not replace a cloud model. It is judged on every model that fits, before the free disk space is looked at and whatever the pick is. With `ok` the pick can still be a small model (a larger one may be slow, have no speed figure or have no room on the disk); `notes` then says so.
   - `reason`, present only with `none`: `not-macos`, `intel`, `memory`, `disk`, `macos` (too old) or `no-harness` (no agent CLI that can be connected to a local model is installed or installable). `memory` has three sentences: nothing fits at all (slot `memory`, the size the Mac is sold as), a model fits but only below the context length an agent CLI needs (slots `budget` and `need`, so a Mac that misses by a little reads as that), and the memory size could not be read (no slot).
   - `headline` and `notes[]`: `{ text, vars? }`. `text` is an English sentence that may hold `{placeholder}` slots, and `vars` carries the slot values as text. Notes, in order: the pick is a small model although larger ones fit (verdict `ok` only); a model that fits the memory was left out because its download would not leave 10 GiB free on the disk (slots `model` and `missing`: the best-ranked such model and the GB to free up); nobody tested the pick on a Mac like this one.
-  - `pick` (absent with `none`) and `alternatives[]` (at most four, best first; empty with `none`), each one model at one context length with one agent CLI. The order: a pair tested on a Mac like this one first, then speed (`ok` before `unknown` before `slow`), then the model's rank, the agent CLI's rank and the larger context. The memory fit decides whether a row is listed and what it says (`fit`, `tag`), it does not sort, so a model is offered at the largest context it fits at. A model whose download would leave less than 10 GiB free on the disk is not listed (an unknown free disk space excludes nothing):
+  - `pick` (absent with `none`) and `alternatives[]` (every other model of the catalogue that fits, best first; empty with `none`), each one model at one context length with one agent CLI. An install is accepted only for a row of this list. The order: a pair tested on a Mac like this one first, then speed (`ok` before `unknown` before `slow`), then the model's rank, the agent CLI's rank and the larger context. The memory fit decides whether a row is listed and what it says (`fit`, `tag`), it does not sort, so a model is offered at the largest context it fits at. A model whose download would leave less than 10 GiB free on the disk is not listed (an unknown free disk space excludes nothing):
     - `modelId` (`name:tag`), `modelLabel`, `license`, `paramsB` (parameters in billions), `context` (tokens);
     - `cli`, `cliLabel`, `cliInstalled` (`false`: the CLI is not on this machine yet but can be installed without administrator rights), `slowFirstTurn?`;
     - `needBytes` and `needGb` (memory the model needs at that context, at its PEAK: the weights, what stays held per token of context, what the runner holds beside both, and what it takes for a moment while a long prompt is processed), `needSource` (`measured`: the figures were measured for this model on a Mac; `estimated`: they are another model's), `downloadBytes` and `downloadGb`, `budgetShare` (need divided by `budgetBytes`, rounded to three decimals);