Update README.md

README.md

@@ -23,11 +23,21 @@ The challenge this time was placing more weight on Merlinite-7b as an unknown qu
 * Reaching the limitations of linear merging necessitated a pivot to reviewing the viability of SLERP, dares-ties, and passthrough methods
 * Thus a competing candidate merge pool was tested between different merge alogrithms. Once more the list was narrowed from 10 candidates to 1: merliniteX-blockF2
 * merliniteX-blockF2 (SLERP of Magic-Dolphin-7B and jaskier-7b-dpo in unorthadox proportions) was originally planned for release earlier this week
-* Instead -blockB1 and -blockF2 were merged and the results were placed head to head in a final round of tests. Ultimately a more conventional execution of SLERP showed the best results
+* Instead -blockB1 and -blockF2 were merged and the results were placed head to head in a final round of tests. Ultimately a more conventional execution of SLERP showed the best results for the final step.
+
+
+
+# Sample Question
+
+<img src="https://i.imgur.com/fdFYIhv.jpeg" width="550"/>
+
+# Bonus Question - Vision Capabilities
+
+<b>Requires additional [mistral-7b-mmproj-v1.5-Q4_1.gguf](https://huggingface.co/koboldcpp/mmproj/tree/main) file for vision functionality)</b>
+<img src="https://i.imgur.com/4wbUrjf.jpeg" width="550"/>
 
 
 
-# output
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).