Models highlighted

README.md

@@ -34,7 +34,7 @@ These variants were built from a **f16** base model to ensure consistency across
 
 | Level     | Speed     | Size       | Recommendation                                                     |
 |-----------|-----------|------------|--------------------------------------------------------------------|
-| Q2_K      | ⚡ Fastest | 347 MB     | **DO NOT USE.** Could not provide an answer to any question.       |
+| Q2_K      | ⚡ Fastest | 347 MB     | 🚨 **DO NOT USE.** Could not provide an answer to any question.       |
 | Q3_K_S    | ⚡ Fast    | 390 MB     | Not recommended, did not appear in any top 3 results.              |
 | Q3_K_M    | ⚡ Fast    | 414 MB     | First place in the bat & ball question, no other top 3 appearances.|
 | Q4_K_S    | 🚀 Fast   | 471 MB     | A good option for technical, low-temperature questions.            |
@@ -61,7 +61,7 @@ It’s ideal for:
 ## Model anaysis and rankings
 
 I have run each of these models across 6 questions, and ranked them all based on the quality of the anwsers. 
-Qwen3-0.6B-f16:Q5_K_M is the best model across all question types, but if you want to play it safe with a higher precision model, then you could consider using Qwen3-0.6B:Q8_0.
+**Qwen3-0.6B-f16:Q5_K_M** is the best model across all question types, but if you want to play it safe with a higher precision model, then you could consider using **Qwen3-0.6B:Q8_0**.
 
 You can read the results here: [Qwen3-0.6b-analysis.md](Qwen3-0.6b-analysis.md)