Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 
 # #roleplay #sillytavern #llama3
 
-My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-0.85-L3-8B**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B).
+My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-1.0-L3-8B**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B).
 
 "Isn't Poppy the cutest [Porpoise](https://g.co/kgs/5C2zP3r)?"
 
@@ -48,12 +48,11 @@ My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-0.85-L3-8B**](https://
 
 ## **Original model information:**
 
-# Note: Updated Presets!
-
 # "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preferences.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/Boje781GkTdYgORTYGI6r.png)
-# Recomended ST Presets:(Updated for 0.85) [Porpoise Presets](https://huggingface.co/Nitral-8B-r1/tree/main/Presets)
+
+# Presets in repo folder https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B/tree/main/Porpoise_1.0-Presets
 
  If you want to use vision functionality:
 
@@ -63,4 +62,17 @@ My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-0.85-L3-8B**](https://
  
  * You can load the **mmproj** by using the corresponding section in the interface:
 
- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Nitral-AI__Poppy_Porpoise-0.85-L3-8B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.24|
+|AI2 Reasoning Challenge (25-Shot)|63.40|
+|HellaSwag (10-Shot)              |82.89|
+|MMLU (5-Shot)                    |68.04|
+|TruthfulQA (0-shot)              |54.12|
+|Winogrande (5-shot)              |77.90|
+|GSM8k (5-shot)                   |69.07|
+