Update README.md

README.md

@@ -1,17 +1,35 @@
+---
+license: llama3
+---
 # Turbcat 8b
+![image/png](3.png)
+![image/png](4.png)
+![image/png](5.png)
+![image/png](6.png)
+![image/png](7.png)
+![image/png](8.png)
 # Release notes
-
-This is a direct upgrade over cat 70B, with 2x the dataset size, added Chinese support.
+This is a direct upgrade over cat 70B, with 2x the dataset size(2GB-> 5GB), added Chinese support with quality on par with the original English dataset. 
+The medical COT portion of the dataset has been sponsored by steelskull, and the action packed character play portion was donated by Gryphe's(aesir dataset). Note that 8b is based on llama3 with limited Chinese support due to base model choice. The chat format in 8b is llama3. The 72b has more comprehensive Chinese support and the format will be chatml.
 
 # Data Generation
-The data generation process is largely the same. Except additional Chinese data were added. 20 postdocs participated in the annotation process and standard model training for embedding scoring.
+In addition to the specified fortifications above, the data generation process is largely the same. Except for added Chinese Ph. D. Entrance exam, Traditional Chinese and Chinese story telling data.
+
+## Special Highlights
+* 20 postdocs (10 Chinese, 10 English speaking doctors specialized in computational biology, biomed, biophysics and biochemistry)participated in the annotation process.
+* GRE and MCAT/Kaoyan questions were manually answered by the participants using strictly COT and BERT judges producing embeddings were trained based on the provided annotation. For an example of BERT embedding visualization and scoring, please refer to https://huggingface.co/turboderp/Cat-Llama-3-70B-instruct
+* Initial support of roleplay as api usage. When roleplaying as an API or function, the model does not produce irrelevant content that's not specified by the system prompt.
 
 # Task coverage
-In addition to standard assistant and roleplay data, the following tasks are targeted:
-* GRE
-* SAT
-* MCAT
-* Chinese Kaoyan
+
+## Chinese tasks on par with English data
+![image/png](1.png)
+For the Chinese portion of the dataset, we strictly kept its distribution and quality comparable to the English counterpart, as visualized by the close distance of the doublets. The overall QC is visualized by PCA after bert embedding
+
+## Individual tasks Quality Checked by doctors
+For each cluster, we QC using BERT embeddings on an umap:
+![image/png](2.png)
+The outliers have been manually checked by doctors.
 
 # Thirdparty dataset
 Thanks to the following people for their tremendous support for dataset generation:
@@ -21,9 +39,14 @@ Thanks to the following people for their tremendous support for dataset generati
 
 # Prompt format for 8b:
 llama3
+Example raw prompt:
+#FIXME
+
 
 # Prompt format for 72b:
 chatml
+Example raw prompt:
+#FIXME
 
 # Support
 Please join https://discord.gg/DwGz54Mz for model support