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README.md

@@ -41,6 +41,7 @@ Below are the perplexity scores for the EXL2 models. A lower score is better.
 | Quant Level | Perplexity Score | Repo |
 |-------------|------------------|------|
 | 6.0 | 4.7068 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
+| 5.5 | 4.7136 | Dracones |
 | 5.0 | 4.7309 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
 | 4.5 | 4.8111 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
 | 4.25 | 4.8292 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
@@ -49,9 +50,10 @@ Below are the perplexity scores for the EXL2 models. A lower score is better.
 | 3.5 | 4.9592 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
 | 3.25 | 5.0631 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
 | 3.0 | 5.2050 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
+| 2.75 | 5.3820 | Dracones |
 | 2.5 | 5.6681 | [turboderp](https://huggingface.co/turboderp/command-r-plus-103B-exl2) |
+| 2.25 | 5.9769 | Dracones |
 
-_TODO:_ Dracones quant perplexity scores being worked on.
 
 ## EQ Bench
 
@@ -60,10 +62,11 @@ Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Command-R
 | Quant Size | Alpaca | ChatML | Command-R | Command-R-Plus |
 |------------|--------|--------|--------|--------|
 | 6.0 | 70.77 | 62.58 | 75.81 | 74.95 |
+| 5.5 | 71.93 | 67.7 | 74.9 | 75.48 |
 | 5.0 | 69.51 | 63.94 | 74.92 | 75.28 |
 
 
-_TODO:_ EQ Bench scores being worked on.
+_Note:_ EQ Bench scripting not working well, other quants may not be tested.
 
 ### Command-R-Plus Template