xglm 564M
General model by facebook · 0.56B parameters · Released 2022-03-02
Updated 2026-10-16
Everything this chip runs, machine by machine: MacBook Pro 14" M5 Pro, MacBook Pro 16" M5 Pro, Mac mini M5 Pro
Fit unconfirmed
xglm 564M needs at least 0.6 of the 20.6 GiB available for models at Q8_0. The context cache, the recurrent state and the runtime's working memory are not measured, so the total is unconfirmed.
Specifications
Quantization Options
Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.
| Quantization | Memory | Speed | Verdict |
|---|---|---|---|
| Q8_0 Recommended | at least 0.6 GiB | ~285 tok/s · Estimated | Fit unconfirmed |
| Q6_K | at least 0.4 GiB | ~374 tok/s · Estimated | Fit unconfirmed |
| Q5_K_M | at least 0.4 GiB | ~440 tok/s · Estimated | Fit unconfirmed |
| Q4_K_M | at least 0.3 GiB | ~516 tok/s · Estimated | Fit unconfirmed |
| Q3_K_M | at least 0.3 GiB | ~623 tok/s · Estimated | Fit unconfirmed |
| Q2_K | at least 0.2 GiB | ~808 tok/s · Estimated | Fit unconfirmed |
Which Mac Can Run xglm 564M?
Affiliate disclosure: the shop icons in this table are Amazon affiliate links. As an Amazon Associate, ModelPiper earns from qualifying purchases. Every fit rating, quantization and tok/s figure below is computed from the hardware specs and is not influenced by that.
Unvalidated forecasts for an 8K text context under a declared full-GPU scenario, at the lowest GPU bin sold with the chosen memory. Memory is reported as its components: exact artifact bytes and a KV allocation derived from a declared attention layout where the catalog carries them, a parameter proxy with no error bound where it does not, and the runtime's working memory, which a browser cannot measure. A fit is confirmed only when every component is known, so a model whose known memory fits reads "Fit unconfirmed" until ToolPiper measures it on your Mac, and one whose known memory alone exceeds the budget reads "Won't fit". Estimated speed ignores prompt length and prefill, and can overstate long-context performance. No measured speed error range is available. The recommendation score weighs declared preferences, not measured answer quality, and becomes a range where evidence is missing.
Minimum Mac
Q8_0 · ~93 tok/s · 7% RAM · Fit unconfirmed
Known memory leaves the good-fit margin free; the context cache, the recurrent state and the runtime's working memory are not measured.
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