Update README.md

README.md

@@ -1,8 +1,7 @@
 ---
 base_model:
 - UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
-- AuriAetherwiing/sunfall-g2-lora
-- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
+- crestf411/gemma2-9B-sunfall-v0.5.2
 - allura-org/G2-9B-Sugarquill-v0
 library_name: transformers
 tags:
@@ -10,22 +9,26 @@ tags:
 - merge
 
 ---
-# Aletheia-5
+# Gemma-2-9B Aletheia v1
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+A merge of Sugarquill and Sunfall. I wanted to combine Sugarquill's more novel-like writing style with something that would improve it's RP perfomance and make it more steerable, w/o adding superfluous synthetic writing patterns.
+I quite like Crestfall's Sunfall models and I felt like Gemma version of Sunfall will steer the model in this direction when merged it. To keep more of Gemma-2-9B-it-SPPO-iter3's smarts, I've decided to apply Sunfall LoRA on top of it, instead of using the published Sunfall model.
+I'm generally pleased with the result, this model has nice, fresh writing style, good charcard adherence and good system prompt following.
+It still should work well for raw completion storywriting, as it's a trained feature in both merged models.
 
-## Merge Details
-### Merge Method
+### Format
 
-This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) as a base.
+Model responds to Gemma instruct formatting, exactly like it's base model.
 
-### Models Merged
+```
+<bos><start_of_turn>user
+{user message}<end_of_turn>
+<start_of_turn>model
+{response}<end_of_turn><eos>
+```
 
-The following models were included in the merge:
-* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) + [AuriAetherwiing/sunfall-g2-lora](https://huggingface.co/AuriAetherwiing/sunfall-g2-lora)
-* [allura-org/G2-9B-Sugarquill-v0](https://huggingface.co/allura-org/G2-9B-Sugarquill-v0)
 
-### Configuration
+### Mergekit config
 
 The following YAML configuration was used to produce this model: