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README.md

@@ -55,16 +55,19 @@ relying on an opencoti feature elsewhere.
 |---|---|---|
 | `opencoti-llamafile-<ver>-<tag>-x86_64.llamafile` | x86_64 + aarch64 (fat APE; Linux/macOS/BSD) | CUDA 13.2 **embedded**, x86_64-linux (sm_75/80/86/89/90/120f) |
 | `opencoti-llamafile-<ver>-<tag>-win-x86_64.llamafile.exe` | same fat APE, incl. **Windows** | none embedded — CPU out of the box, GPU via side-load (below) |
+| `opencoti-llamafile-<ver>-<tag>-aarch64.llamafile` | same fat APE | CUDA 13.2 **embedded**, sbsa/aarch64-linux (sm_110f DGX Spark GB10 / Jetson Thor, sm_121a) |
 | `dso/<ver>-<tag>/ggml-cuda-x86_64.so` | side-load DSO for the `-win`/bare APE on x86_64-linux | CUDA 13.2, x86_64-linux (sm_75/80/86/89/90/120f) |
-| `opencoti-llamafile-<ver>-<tag>-aarch64.llamafile` *(planned)* | same fat APE | CUDA 13.2, sbsa/aarch64 (sm_110f Jetson Thor, sm_121a DGX Spark GB10) |
+| `dso/<ver>-<tag>/ggml-cuda-sbsa-aarch64.so` | side-load DSO for the `-win`/bare APE on aarch64-linux | CUDA 13.2, sbsa/aarch64-linux (sm_110f, sm_121a) |
 
 The APE host binary is identical across variants and runs natively on
 both x86_64 and aarch64. The variants differ ONLY in the embedded
-`ggml-cuda.so`: the full x86_64 artifact carries it inside (4.8 GB);
-the `-win` variant carries none, because **Windows refuses to run
-executables larger than 4 GB** — it is the same APE renamed `.exe`
-(required on Windows) at ~55 MB. With no matching DSO available,
-inference falls back to CPU.
+`ggml-cuda.so`: the full x86_64 artifact carries the x86_64-linux DSO
+(4.8 GB); the `-aarch64` artifact carries the sbsa/aarch64-linux DSO
+(1.8 GB — GPU out of the box on DGX Spark-class hosts); the `-win`
+variant carries none, because **Windows refuses to run executables
+larger than 4 GB** — it is the same APE renamed `.exe` (required on
+Windows) at ~55 MB. With no matching DSO available, inference falls
+back to CPU.
 
 ## Usage