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README.md
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- Epiculous/
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tags:
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- mergekit
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- merge
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# Violet_Twilight-v0.2
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### Merge Method
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###
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```yaml
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slices:
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- sources:
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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license: apache-2.0
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datasets:
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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- anthracite-org/stheno-filtered-v1.1
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- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
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- Gryphe/Sonnet3.5-Charcard-Roleplay
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- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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- anthracite-org/kalo-opus-instruct-22k-no-refusal
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- anthracite-org/nopm_claude_writing_fixed
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- anthracite-org/kalo_opus_misc_240827
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- ru
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- zh
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- ja
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pipeline_tag: text-generation
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tags:
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- merge
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64adfd277b5ff762771e4571/P962FQhRG4I8nbU_DJolY.png)
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Now for something a bit different, Violet_Twilight-v0.2! This model is a SLERP merge of Azure_Dusk-v0.2 and Crimson_Dawn-v0.2!
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# Quants!
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<strong>full</strong> / [exl2]() / [gguf]()
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## Prompting
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The v0.2 models are trained on ChatML, the prompting structure goes a little something like this:
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```
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<|im_start|>user
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Hi there!<|im_end|>
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<|im_start|>assistant
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Nice to meet you!<|im_end|>
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<|im_start|>user
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Can I ask a question?<|im_end|>
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<|im_start|>assistant
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```
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### Context and Instruct
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The v0.2 models are trained on ChatML, please use that Context and Instruct template.
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### Current Top Sampler Settings
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[Spicy_Temp](https://files.catbox.moe/9npj0z.json) <br/>
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[Violet_Twilight-Nitral-Special](https://files.catbox.moe/ot54u3.json) <br/>
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## Merging
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The following config was used to merge Azure Dusk and Crimson Dawn
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```yaml
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slices:
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- sources:
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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