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fix(local-model): the MLX row of Muse Glimmer takes a 5 GB peak, and says what was compared

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Three corrections to the row added in 5396e33b, none of which changes where it is offered:

- Its peak. The run gave the process footprint's LIFETIME maximum, read at the end: 3.0 to
  3.3 GB above what was held then. That is a floor, because a larger transient during the
  earlier, longer prompts would not show in it. The row now takes the first measured row's
  5 GB: 36.1 GB at 65,536 tokens (0.960 of a 48 GB Mac's estimate) and 39.0 GB at 131,072
  (0.972 of what that Mac's runtime measures).
- What was compared. The two builds were not given the same prompt in OpenCode: the GGUF
  build got a one-line task through the skill's sendmark (which adds its answer-file
  sentence), the MLX build a plain one-line prompt. And the speeds to set side by side are
  the two from the same 300-token request, 15.2 and 30.2.
- Runtime issue 18269: whether the memory fix its maintainer promised predates the pinned
  runtime is not known, and the header says so.

Also a stale comment: the catalogue holds eleven models.

Co-Authored-By: Claude Fable 5.2 <noreply@anthropic.com>
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Codeman maintainer committed 2026-11-12 03:02:08 +01:00
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@@ -29,9 +29,9 @@ never more than the memory less 6, 8 or 12 GiB for macOS, Codeman, a browser and
| 16 GB | 10.4 GB | A small model (`limited`): Ornith 1.0 9B at 65,536 tokens, 9.3 GB, tight (90%). Its build has no vision projector, which makes it 0.9 GB smaller than the other two 9B builds: MiMo V2.6 9B needs 10.2 GB there, 98.7% of the budget, just past the 98% a tight fit may reach. Once the runtime measures what a 16 GB Mac mini measured (10.7 GB), all three fit and MiMo is the pick. No 9B was run on such a Mac by us: only a run settles it |
| 18 GB | 11.8 GB | A small model (`limited`): MiMo V2.6 9B at 131,072 tokens, 11.4 GB, tight. Ornith 1.0 9B (10.5 GB) and Qwen3.5 9B are the alternatives |
| 24 GB | 16.1 GB | The same, with room. On a base M2 or M3 (100 GB/s) it computes to 9.3 tokens per second: slow |
| 32 GB | 21.8 GB | No longer a small-model Mac: Muse Glimmer 30B fits at 65,536 tokens (21.2 GB, 97%, tight). It is a dense model. On an M1 Max or M2 Max it computes to 11.8 tokens per second and is the pick; on a base or Pro chip it computes to under 6 and is listed as slow, and the pick stays MiMo V2.6 9B at 131,072 tokens with the note that it is a small model. North Mini Code 1.0 needs 23.2 GB at 65,536 tokens; once the runtime measures about 3/4 of the memory, as it did on a 16 and a 48 GB Mac, the Mac gets it at 131,072 tokens, or Qwen3.8 27B at 65,536 tokens on a Max chip. Run once on a Mac (an M5 Pro with 48 GB, 2026-11-12): this GGUF build wrote 15 tokens per second, and an OpenCode turn of one line showed no answer after 7 minutes. Its MLX build, which answered the same turn in 45 seconds, needs 34.6 GB and is offered from 48 GB |
| 32 GB | 21.8 GB | No longer a small-model Mac: Muse Glimmer 30B fits at 65,536 tokens (21.2 GB, 97%, tight). It is a dense model. On an M1 Max or M2 Max it computes to 11.8 tokens per second and is the pick; on a base or Pro chip it computes to under 6 and is listed as slow, and the pick stays MiMo V2.6 9B at 131,072 tokens with the note that it is a small model. North Mini Code 1.0 needs 23.2 GB at 65,536 tokens; once the runtime measures about 3/4 of the memory, as it did on a 16 and a 48 GB Mac, the Mac gets it at 131,072 tokens, or Qwen3.8 27B at 65,536 tokens on a Max chip. Run once on a Mac (an M5 Pro with 48 GB, 2026-11-12): this GGUF build wrote 15 tokens per second, and an OpenCode worker given a one-line task showed no answer after 7 minutes. Its MLX build, which finished an OpenCode turn on a one-line prompt in 45 seconds, needs 36.1 GB and is offered from 48 GB |
| 36 GB | 27.9 GB | Qwen3.8 27B at 131,072 tokens on an M4 or M5 Max (27.0 GB, 97%); on a slower chip, where the dense 27B computes to under 10 tokens per second, Qwen3.6 35B-A3B as a GGUF build (27.1 GB, 97%). Both tight. Muse Glimmer 30B at 131,072 tokens (21.6 GB, 78%) is the alternative with room to spare |
| 48 GB | 37.6 GB | Qwen3.6 35B-A3B (MLX) at 131,072 tokens: the pair we tested, "Recommended" on an Apple M5 Pro with 48 GB. On a Max chip Qwen3.8 27B at 262,144 tokens (32.1 GB, tight). A session of many prompts on that Mac (a 95,000-token prompt, then twelve separate ones of 15,000 tokens, measured on 2026-11-12) ended at 33.4 GB of the 40.2 GB its runtime measures, still growing by 0.5 GiB a prompt: MLX may keep up to 8 GiB of earlier prompts, which brings this pair to the edge of the budget. Muse Glimmer 30B as its MLX build is offered here too, at 65,536 tokens (34.6 GB, tight) |
| 48 GB | 37.6 GB | Qwen3.6 35B-A3B (MLX) at 131,072 tokens: the pair we tested, "Recommended" on an Apple M5 Pro with 48 GB. On a Max chip Qwen3.8 27B at 262,144 tokens (32.1 GB, tight). A session of many prompts on that Mac (a 95,000-token prompt, then twelve separate ones of 15,000 tokens, measured on 2026-11-12) ended at 33.4 GB of the 40.2 GB its runtime measures, still growing by 0.5 GiB a prompt: MLX may keep up to 8 GiB of earlier prompts, which brings this pair to the edge of the budget. Muse Glimmer 30B as its MLX build is offered here too, at 65,536 tokens (36.1 GB, tight) |
| 64 GB | 50.5 GB | Qwen3.8 27B at 262,144 tokens on a Max chip; Qwen3.6 35B-A3B (MLX) on a Pro chip |
| 96 GB | 76.2 GB | Qwen3.8 27B at 262,144 tokens; on an M3 Max, Qwen3.6 35B-A3B (MLX) |
| 128 GB | 102 GB | Ornith 1.5 122B-A10B (MLX) at 131,072 tokens, 97.4 GB, tight |