Update README

README.md

@@ -16,6 +16,16 @@ to [EXL2](https://github.com/turboderp/exllamav2#exl2-quantization) format.
 Converted with the ExllamaV2 [convert.py](https://github.com/turboderp/exllamav2/blob/master/convert.py) script,
 exllamav2 [commit](https://github.com/turboderp/exllamav2/commit/31f31e1b08eeccf4a5ab31fd202ef3100dce8d22)
 
+Original model in full weights achieves **73.8** HumanEval score. Here are EXL2 quants scores:
+
+| BPW (hb=8)  | HumanEval | Evol-Ins PPL | Wiki PPL   | File Size (Gb) | 
+| ----------- | --------- | ------------ | ---------- | -------------- |
+|  2.55       | **40.24** | 2.0944       | 18.9843    |   10.62        |
+|  2.8        | **63.41** | 2.0814       | 17.6326    |   11.58        |
+|  3.0        | **66.46** | 2.0600       | 11.2096    |   12.36        |
+|  4.625      | **70.12** | 2.0401       | 6.7243     |   18.63        |
+|  4.8        | **70.73** | 2.0361       | 6.7263     |   19.32        |
+
 ## Datasets used for calibration and PPL measurement
  
 * [Calibration](https://huggingface.co/datasets/rombodawg/2XUNCENSORED_MegaCodeTraining188k)
@@ -70,12 +80,3 @@ Vanilla Mistral-7B INT8 scores **27.43**
 
 [EXL2 3.2-bpw quant](https://huggingface.co/firelzrd/Phind-CodeLlama-34B-v2-exl2/tree/3_2-bpw) of this model by [firelzrd](https://huggingface.co/firelzrd)
 scores **60.97**.
-
-
-| BPW (hb=8)  | HumanEval | Evol-Ins PPL | Wiki PPL   | File Size (Gb) | 
-| ----------- | --------- | ------------ | ---------- | -------------- |
-|  2.55       | **40.24** | 2.0944       | 18.9843    |   10.62        |
-|  2.8        | **63.41** | 2.0814       | 17.6326    |   11.58        |
-|  3.0        | **66.46** | 2.0600       | 11.2096    |   12.36        |
-|  4.625      | **70.12** | 2.0401       | 6.7243     |   18.63        |
-|  4.8        | **70.73** | 2.0361       | 6.7263     |   19.32        |