Update README.md

README.md

@@ -22,7 +22,7 @@ new_version: SupraLabs/Supra-Mini-v5-8M
 We apologize for the inconvenience. The correct model should be uploaded soon.
 
 # 🦅 Supra Mini v4 2M
-Supra Mini **v4** 2M is a very tiny base model trained on **3 billion** tokens of Fineweb-Edu for 2 epochs as the **fourth version** of our Supra Mini series.
+Supra Mini **v4** 2M is a very small model trained on **3 billion** tokens of Fineweb-Edu for 2 epochs as the **fourth version** of our Supra Mini series. 
 
 ## Model Config
 
@@ -39,7 +39,7 @@ Supra Mini **v4** 2M is a very tiny base model trained on **3 billion** tokens o
 - Trained in bfloat16
 
 ## Final Loss
-This model reached a final train loss after 2 epochs of **4.618**.
+This model reached a final CrossEntropy loss (on the train set) of **4.618**.
 
 ## Benchmarks
 
@@ -100,6 +100,17 @@ print(f"\nPrompt: {test_prompt}")
 print("-" * 30)
 print("\nOutput:\n" + generate_text(test_prompt))
 ```
+## Use cases
+
+1. Educational research
+2. deployment or testing/fine-tuning on edge environments
+3. Or more simply, for fun
+
+## Limitations
+
+1. Cannot reason, chat, or code
+2. Incoherent more often than not
+3. Mostly unfactual
 
 ## Training guide
 We trained Supra Mini v4 2M on a single NVIDIA RTX 5060 Ti 16GB in ~3 hours for 2 epochs.<br>