Create README.md

README.md

@@ -0,0 +1,93 @@
+---
+license: cc-by-nc-4.0
+---
+
+```
+  e88 88e                               d8     
+ d888 888b  8888 8888  ,"Y88b 888 8e   d88     
+C8888 8888D 8888 8888 "8" 888 888 88b d88888   
+ Y888 888P  Y888 888P ,ee 888 888 888  888     
+  "88 88"    "88 88"  "88 888 888 888  888     
+      b                                        
+      8b,                                      
+ 
+  e88'Y88                  d8           888    
+ d888  'Y  ,"Y88b 888,8,  d88    ,e e,  888    
+C8888     "8" 888 888 "  d88888 d88 88b 888    
+ Y888  ,d ,ee 888 888     888   888   , 888    
+  "88,d88 "88 888 888     888    "YeeP" 888    
+                                               
+PROUDLY PRESENTS         
+```
+# Dendrite-L3-10B-exl2-rpcal
+
+Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.
+
+Branches:
+- `main` -- `measurement.json`
+- `8b8h` -- 8bpw, 8bit lm_head
+- `6b6h` -- 6bpw, 6bit lm_head
+- `4b6h` -- 4bpw, 6bit lm_head
+
+Original model link: [Envoid/Dendrite-L3-10B](https://huggingface.co/Envoid/Dendrite-L3-10B)
+
+Original model README below.
+
+-----
+
+# 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: ./Poppy_Porpoise-DADA-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 number 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)