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Model: Epiculous/Violet_Twilight-v0.1-GGUF
Source: Original Platform

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README.md

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+---
+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:
+- merge
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64adfd277b5ff762771e4571/oTCM28M_Hu6lM4DmOp7tC.png)
+
+Now for something a bit different, Violet_Twilight! This model is a SLERP merge of Azure_Dusk and Crimson_Dawn!
+
+# Quants!
+[full](https://huggingface.co/Epiculous/Violet_Twilight-v0.1) / [exl2](https://huggingface.co/Epiculous/Violet_Twilight-v0.1-Exl2) / <strong>gguf</strong>
+
+## 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.
+
+```
+"<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
+[Violet_Twilight-Nitral-Special](https://files.catbox.moe/ot54u3.json)- Considered the best settings! <br/>
+[Crimson_Dawn-Nitral-Special](https://files.catbox.moe/8xjxht.json) <br/>
+[Crimson_Dawn-Magnum-Style](https://files.catbox.moe/lc59dn.json) 
+### Tokenizer
+If you are using SillyTavern, please set the tokenizer to API (WebUI/ koboldcpp)
+
+## Merging
+The following config was used to merge Azure Dusk and Crimson Dawn
+```yaml
+slices:
+  - sources:
+      - model: Epiculous/Azure_Dusk-v0.1
+        layer_range: [0, 40]
+      - model: Epiculous/Crimson_Dawn-V0.1
+        layer_range: [0, 40]
+merge_method: slerp
+base_model: Epiculous/Azure_Dusk-v0.1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+
+```

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