Update README.md

README.md

@@ -1,26 +1,37 @@
 ---
+license: other
+license_name: mistral-ai-research-licence
+license_link: https://mistral.ai/licenses/MRL-0.1.md
 base_model: []
 library_name: transformers
 tags:
 - mergekit
-- merge
+- lumikabra-123B
 
 ---
-# lumikabra_v0.2
+# lumikabra-123B v0.2
+
+
+<div style="width: auto; margin-left: auto; margin-right: auto; margin-bottom: 3cm">
+<img src="https://huggingface.co/schnapper79/lumikabra-123B_v0.1/resolve/main/lumikabra.png" alt="Lumikabra" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+This is lumikabra. It's based on [Mistral-Large-Instruct-2407 ](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407), merged with Magnum-v2-123B, Luminum-v0.1-123B and Tess-3-Mistral-Large-2-123B.
+
+I shamelessly took this idea from [FluffyKaeloky](https://huggingface.co/FluffyKaeloky/Luminum-v0.1-123B). Like him, i always had my troubles with each of the current large mistral based models. 
+Either it gets repetitive, shows too many GPTisms, is too horny or too unhorny. RP and storytelling is always a matter of taste, and i found myself swiping too often for new answers or even fixing them when I missed a little spice or cleverness.
+
+Luminum was a great improvement, mixing a lot of desired traits, but I still missed some spice, another sauce.
+So i took Luminum, added magnum again and also Tess for knowledge and structure.
+
+This is a second version with another mixture of the same sauce. It is different than v0.1, not worse not better, just a little different. Again, I believe it is just a matter of taste, which answers one prefers and like the most.
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
 ## Merge Details
 ### Merge Method
 
-This model was merged using the della_linear merge method using /workspace/text-generation-webui/models/mistralai_Mistral-Large-Instruct-2407 as a base.
-
-### Models Merged
+This model was merged using [mergekit](https://github.com/cg123/mergekit) with the della_linear merge method using mistralai_Mistral-Large-Instruct-2407 as a base.
 
-The following models were included in the merge:
-* /workspace/text-generation-webui/models/anthracite-org_magnum-v2-123b
-* /workspace/text-generation-webui/models/FluffyKaeloky_Luminum-v0.1-123B
-* /workspace/text-generation-webui/models/migtissera_Tess-3-Mistral-Large-2-123B
 
 ### Configuration
 
@@ -28,20 +39,20 @@ The following YAML configuration was used to produce this model:
 
 ```yaml
 models:
-  - model: /workspace/text-generation-webui/models/anthracite-org_magnum-v2-123b
+  - model: anthracite-org_magnum-v2-123b
     parameters:
       weight: 0.24
       density: 0.5
-  - model: /workspace/text-generation-webui/models/FluffyKaeloky_Luminum-v0.1-123B
+  - model: FluffyKaeloky_Luminum-v0.1-123B
     parameters:
       weight: 0.34
       density: 0.8
-  - model: /workspace/text-generation-webui/models/migtissera_Tess-3-Mistral-Large-2-123B
+  - model: migtissera_Tess-3-Mistral-Large-2-123B
     parameters:
       weight: 0.24
       density: 0.9      
 merge_method: della_linear
-base_model: /workspace/text-generation-webui/models/mistralai_Mistral-Large-Instruct-2407
+base_model: mistralai_Mistral-Large-Instruct-2407
 parameters:
   epsilon: 0.05
   lambda: 1