Update README.md

README.md

@@ -1,3 +1,59 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+---
+# This model is experimental and thus results cannot be gauranteed. 
+
+![](https://files.catbox.moe/rx5tfs.jpg)
+# Dendrite-L3-10B
+
+In a similar vein to [Libra-19B](https://huggingface.co/Envoid/Libra-19B) this model was created by taking all of the layers of one model and stacking along with them the first number of layers (8 in this case) from a donor model but in the reverse order. 
+
+In this case the base model used was [Poppy_Porpoise-DADA-8B](https://huggingface.co/Envoid/Poppy_Porpoise-DADA-8B) and the donor model used was [Llama-3-8B-Instruct-DADA](https://huggingface.co/Envoid/Llama-3-8B-Instruct-DADA)
+
+It was then finetuned for 10 epochs on the Dendrite dataset at a low learning rate to repair the disorder and integrate the donor layers. 
+
+The following mergekit config was used:
+```
+slices:
+  - sources:
+    - model: ./PoppyPorpoiseDADA-8B
+      layer_range: [0, 32]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [7, 8]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [6, 7]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [5, 6]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [4, 5]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [3, 4]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [2, 3]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [1, 2]
+  - sources:
+    - model: ./Llama-3-8B-Instruct-DADA
+      layer_range: [0, 1]
+merge_method: passthrough
+dtype: float16
+```
+
+Unlike in the case of Libra-19B this models moral alignment seems very much intact.
+
+In order to get the best results from this model you should uncheck "skip special tokens" on your front-end and add "<|eot_id|>" to your custom stopping strings. 
+
+It has been tested with a numnber of different Llama-3 prompt templates and seems to work well.
+
+It regained its base assistant personality during the retraining process, however, using assistant style prompt templates and assistant cards in SillyTavern gives it fairly interesting replies.
+
+It has been tested in RP, assistant and creative writing use cases and at a quick glance seems to work well. 
+
+Training was done using [qlora-pipe](https://github.com/tdrussell/qlora-pipe)