Update README.md

README.md

@@ -2,30 +2,52 @@
 base_model:
 - allura-org/Gemma-3-Glitter-12B
 - ToastyPigeon/Gemma-3-Confetti-12B
+- google/gemma-3-12b-it
+- google/gemma-3-12b-pt
 library_name: transformers
 tags:
 - mergekit
 - merge
-
 ---
-# merged
+# 🌠G3 Starshine 12B - RPFocus🌠
+<figure>
+  <img src="https://huggingface.co/ToastyPigeon/Gemma-3-Starshine-12B-StoryFocus/resolve/main/modelcard_image.jpeg" width="600">
+</figure>
+
+A creative writing model based on a merge of fine-tunes on Gemma 3 12B IT and Gemma 3 12B PT. 
+
+This is the **RP Focused** merge. This version better handles separate characters in turn-based chats with less impersonation.  
+
+See the [Story Focused](https://huggingface.co/ToastyPigeon/Gemma-3-Starshine-12B-StoryFocus/) version as well. 
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+This is a merge of two G3 models, one trained on instruct and one trained on base: 
+* [allura-org/Gemma-3-Glitter-12B](https://huggingface.co/allura-org/Gemma-3-Glitter-12B) - Itself a merge of a storywriting and RP train (both also by ToastyPigeon), on instruct
+* [ToastyPigeon/Gemma-3-Confetti-12B](https://huggingface.co/ToastyPigeon/Gemma-3-Confetti-12B) - Experimental application of the Glitter data using base instead of instruct, additionally includes some adventure data in the form of SpringDragon.
+  
+The result is a lovely blend of Glitter's ability to follow instructions and Confetti's free-spirit prose, effectively 'loosening up' much of the hesitancy that was left in Glitter. 
 
-## Merge Details
-### Merge Method
+Vision works (as well as any vision works with this model right now) if you pair a GGUF of this with an appropriate mmproj file; I intend to fix the missing vision tower + make this properly multimodal in the near future. 
 
-This model was merged using the [Linear](https://arxiv.org/abs/2203.05482) merge method.
+*Thank you to [jebcarter](https://huggingface.co/jebcarter) for the idea to make this. I love how it turned out!*
 
-### Models Merged
+## Instruct Format
 
-The following models were included in the merge:
-* [allura-org/Gemma-3-Glitter-12B](https://huggingface.co/allura-org/Gemma-3-Glitter-12B)
-* [ToastyPigeon/Gemma-3-Confetti-12B](https://huggingface.co/ToastyPigeon/Gemma-3-Confetti-12B)
+Uses Gemma2/3 instruct, but has been trained to recognize an optional system role.
+
+*Note: While it won't immediately balk at the system role, results may be better without it.*
+
+```
+<start_of_turn>system
+{optional system turn with prompt}<end_of_turn>
+<start_of_turn>user
+{User messages; can also put sysprompt here to use the built-in g3 training}<end_of_turn>
+<start_of_turn>model
+{model response}<end_of_turn>
+```
 
-### Configuration
+### Merge Configuration
 
-The following YAML configuration was used to produce this model:
+A higher percentage of Glitter gives this model better turn-based instruct following, but it may be more uptight compared to the Story Focused version. 
 
 ```yaml
 models: