Update README.md

README.md

@@ -1,32 +1,48 @@
 ---
-base_model:
-- Epiculous/Crimson_Dawn-V0.1
-- Epiculous/Azure_Dusk-v0.1
-library_name: transformers
+license: apache-2.0
+datasets:
+- Epiculous/SynthRP-Gens-v1-Filtered-n-Cleaned
+- Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ru
+- zh
+- ja
+pipeline_tag: text-generation
 tags:
-- mergekit
 - merge
-
 ---
-# Violet_Twilight
-
-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 SLERP merge method.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64adfd277b5ff762771e4571/oTCM28M_Hu6lM4DmOp7tC.png)
 
-### Models Merged
+Now for something a bit different, Violet_Twilight! This model is a SLERP merge of Azure_Dusk and Crimson_Dawn!
 
-The following models were included in the merge:
-* [Epiculous/Crimson_Dawn-V0.1](https://huggingface.co/Epiculous/Crimson_Dawn-V0.1)
-* [Epiculous/Azure_Dusk-v0.1](https://huggingface.co/Epiculous/Azure_Dusk-v0.1)
+# Quants!
+<strong>full</strong> / [exl2](https://huggingface.co/Epiculous/Violet_Twilight-v0.1-Exl2) / [gguf](https://huggingface.co/Epiculous/Violet_Twilight-v0.1-GGUF)
 
-### Configuration
+## Prompting
+Violet_Twilight's models were trained with the Mistral Instruct template, therefore it should be prompted in a similar way that you would prompt any other mistral based model.
 
-The following YAML configuration was used to produce this model:
+```
+"<s>[INST] Prompt goes here [/INST]<\s>"
+```
+### Context and Instruct
+[Magnum-123B-Context.json](https://files.catbox.moe/rkyqwg.json) <br/>
+[Magnum-123B-Instruct.json](https://files.catbox.moe/obb5oe.json) <br/>
+*** NOTE *** <br/>
+There have been reports of the quantized model misbehaving with the mistral prompt, if you are seeing issues it may be worth trying ChatML Context and Instruct templates.
+If you are using GGUF I strongly advise using ChatML, for some reason that quantization performs better using ChatML.
+### Current Top Sampler Settings
+[Crimson_Dawn-Nitral-Special](https://files.catbox.moe/8xjxht.json) - Considered the best settings! <br/>
+[Crimson_Dawn-Magnum-Style](https://files.catbox.moe/lc59dn.json) 
 
+## Merging
+The following config was used to merge Azure Dusk and Crimson Dawn
 ```yaml
 slices:
   - sources:
@@ -34,10 +50,6 @@ slices:
         layer_range: [0, 40]
       - model: Epiculous/Crimson_Dawn-V0.1
         layer_range: [0, 40]
-# or, the equivalent models: syntax:
-# models:
-#   - model: psmathur/orca_mini_v3_13b
-#   - model: garage-bAInd/Platypus2-13B
 merge_method: slerp
 base_model: Epiculous/Azure_Dusk-v0.1
 parameters:
@@ -49,4 +61,4 @@ parameters:
     - value: 0.5 # fallback for rest of tensors
 dtype: bfloat16
 
-```
+```