Add real GGUF tensor payload and clarify fictional 217T declaration

README.md

@@ -16,13 +16,13 @@ num_parameters: 217T
 
 **217 trillion declared parameters.**
 
-> This is a fictional, metadata-only model concept inspired by [The Quettamind](https://huggingface.co/yeths/The-Quettamind). It contains no usable model weights and cannot run inference. The 217T figure is intentionally declared for the joke/benchmark-card format.
+> This is a fictional model concept inspired by [The Quettamind](https://huggingface.co/yeths/The-Quettamind). It includes a tiny real GGUF tensor payload for format inspection, but is not a trained or useful 217T model. The 217T figure is intentionally declared for the joke/benchmark-card format.
 
 ## Highlights
 
 * **217,000,000,000,000 declared parameters** (217T)
 * **3.517× larger** than The Quettamind (61.718T)
-* GGUF-style repository metadata with a deliberately tiny storage footprint
+* A valid GGUF container with one real F16 tensor value and a deliberately tiny storage footprint
 * Named for a tenant that occupies every available ember of the parameter budget
 
 ## Comparison
@@ -49,6 +49,7 @@ num_parameters: 217T
 
 ## Files
 
+* `ember-tenant-f16.gguf` — valid GGUF container with one real tensor value; not a complete model
 * `config.json` — fictional architecture and parameter declaration
 * `model-index.json` — machine-readable provenance and status
 * `LICENSE.md` — MIT license retained from the source resource

config.json

@@ -5,7 +5,8 @@
   "model_name": "Ember-Tenant",
   "declared_parameters": 217000000000000,
   "declared_parameters_human": "217T",
-  "weights_present": false,
+  "weights_present": true,
+  "tensor_payload": "one F16 value; incomplete model",
   "inference_supported": false,
   "fictional": true,
   "source_model": "yeths/The-Quettamind"

model-index.json

@@ -10,7 +10,7 @@
     "relationship": "presentation and metadata inspiration"
   },
   "weights": {
-    "included": false,
-    "reason": "This deliverable is a lightweight fictional model card, not a trained model."
+    "included": true,
+    "description": "One real F16 tensor value is included; this is not a trained model."
   }
 }