102 lines
2.6 KiB
Markdown
102 lines
2.6 KiB
Markdown
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---
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base_model:
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- berkeley-nest/Starling-LM-7B-alpha
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- NousResearch/Nous-Hermes-2-Mistral-7B-DPO
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- senseable/WestLake-7B-v2
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- openchat/openchat-3.5-0106
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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# Aryanne/Open-StarLake-Swap-7B
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit), but my branch was used
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[here](https://github.com/Ar57m/mergekit/tree/swapping)
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## Merge Details
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### Merge Method
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This model was merged using the task_swapping merge method using [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) as a base.
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### Models Merged
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The following models were included in the merge:
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* [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
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* [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)
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* [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
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*
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### Prompt Format:
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I prefer using this way, which seems to work.
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### Example using Koboldcpp:
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Start Seq.:
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```
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\nYour_name:
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```
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End Seq.:
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```
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\nCharacter_name:
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```
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In Memory
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```
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### Instruction:
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Character description.
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Generate a endless verbose(very descriptive) role-play conversation with Character_name.
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### Response:
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Your_name: how are you doing babe? *Your_name approaches Character_name and kisses her in the lips*
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Character_name: I'm fine, it's been an weird day. *Character_name blushes and hugs Your_name with love*
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```
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model:
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model:
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path: senseable/WestLake-7B-v2
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dtype: bfloat16
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merge_method: task_swapping
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slices:
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- sources:
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- layer_range: [0, 32]
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model:
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model:
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path: berkeley-nest/Starling-LM-7B-alpha
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parameters:
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diagonal_offset: 2.0
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weight: 0.72
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- layer_range: [0, 32]
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model:
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model:
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path: openchat/openchat-3.5-0106
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parameters:
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diagonal_offset: 4.0
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random_mask: 0.166
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random_mask_seed: 19519.0
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weight: 0.4
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- layer_range: [0, 32]
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model:
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model:
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path: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
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parameters:
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diagonal_offset: 4.0
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random_mask: 0.125
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random_mask_seed: 990090.0
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weight: 0.666
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- layer_range: [0, 32]
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model:
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model:
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path: senseable/WestLake-7B-v2
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```
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### Support
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Please Consider donating:
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0x190ac445974a989a87dd223f212a76ca0090c804
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