Update README.md

README.md

@@ -1,26 +1,31 @@
----
-base_model:
-- TheDrummer/Big-Tiger-Gemma-27B-v3
-- Tesslate/Synthia-S1-27b
-- summykai/gemma3-27b-abliterated-dpo
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# Planetoid_27B_V.3
-
-This is a merge of pre-trained Gemma3 language models.
-
-Goal of this merge was to create high quality roleplay model for complex cards and scenarios.
-
-Result i can call good. Model is smart, smarter than 24b mistral. Writing style is pleastant to read, instructions followed. 
-
-Gemma context attention is flawless, every small detail is remembered.
-
-Cliches are present, though it different from Mistral's.
-
-I had only problem with this model - it's too memory hungry, even on Q4_K_S and 8k context only half og layers fills my 16gb.
-
-Tested on T0.8, XTC off.    
+---
+base_model:
+- TheDrummer/Big-Tiger-Gemma-27B-v3
+- Tesslate/Synthia-S1-27b
+- summykai/gemma3-27b-abliterated-dpo
+library_name: transformers
+tags:
+- mergekit
+- merge
+- creative
+- roleplay
+language:
+- en
+- ru
+---
+# Mars_27B_V.1
+This is a merge of pre-trained Gemma3 language models.
+
+Goal of this merge was to create high quality roleplay model for complex cards and scenarios. ERP too.
+
+The result i can call good. Model is smart, smarter than 24b mistral. Writing style is pleastant to read, instructions followed. 
+
+Gemma context attention is flawless, every small detail is remembered.
+
+Cliches are present, though they are different from Mistral's.
+
+Ru is supported, good enough for roleplay, good enough as assistant.
+
+I had only problem with this model - it's too memory hungry, even on Q4_K_S and 8k context only half of layers fits it my 16gb vram.
+
+Tested on T0.8, XTC off.