Update README.md

README.md

@@ -1,5 +1,13 @@
 ---
 base_model:
+- nothingiisreal/L3.1-8B-Celeste-V1.5
+- Sao10K/Llama-3.1-8B-Stheno-v3.4
+- Sao10K/L3.1-8B-Niitama-v1.1
+- arcee-ai/Llama-3.1-SuperNova-Lite
+- akjindal53244/Llama-3.1-Storm-8B
+- arcee-ai/Llama-Spark
+- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
+- crestf411/sunfall-peft
 - v000000/L3.1-Celestial-Stone-2x8B
 library_name: transformers
 tags:
@@ -9,7 +17,13 @@ tags:
 - dpo
 ---
 
-# Llama-3.1-Celestial-Stone-2x8B-DPO
+> [!WARNING]
+> **Content:**<br>
+> This models output's can be a bit unhinged.
+
+# Llama-3.1-Celestial-Stone-2x8B-DPO (BF16)
+
+* *Mixture of Experts (14B).*
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/lyRa7z5maTqAaa43sxC2J.png)
 
@@ -19,4 +33,30 @@ tags:
 
 [L3.1-Celestial-Stone-2x8B](https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B) Finetuned on Nvidia A100.
 
-0.5 Epoch completed of dataset [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) with learning_rate=8e-6
+0.5 Epoch completed of dataset [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) with learning_rate=8e-6
+
+------------------------------------------------------------------------------
+
+*The first expert* is Instruct 405B distillation/RP vector merge <b>(Supernova-Lite, Niitama1.1, Storm)</b>
+
+*The second expert* is ERP/Reddit data merge <b>(Celeste1.5, Stheno3.4, Storm)</b>
+
+-------------------------------------------------------------------------------
+
+*The base model* is <b>Sao10k/L3.1-Stheno-3.4</b> with the <b>Sunfall LoRa 0.6.1</b> to make it understand SillyTavern prompts and storywriting better.
+
+-------------------------------------------------------------------------------
+
+*Finetuned* on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1).
+
+# Prompt Template:
+```bash
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{output}<|eot_id|>
+
+```