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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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- model: Epiculous/Azure_Dusk-v0.2 |
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layer_range: [0, 40] |
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- model: Epiculous/Crimson_Dawn-V0.2 |
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layer_range: [0, 40] |
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merge_method: slerp |
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base_model: Epiculous/Azure_Dusk-v0.2 |
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parameters: |
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t: |
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- filter: self_attn |
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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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``` |