62 lines
2.2 KiB
Markdown
62 lines
2.2 KiB
Markdown
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---
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base_model:
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- Epiculous/Fett-uccine-7B
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- eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
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- OpenPipe/mistral-ft-optimized-1227
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- ChaoticNeutrals/Eris_7B
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library_name: transformers
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license: cc-by-nc-4.0
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tags:
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- mergekit
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- merge
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language:
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- en
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pipeline_tag: text-generation
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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* This model is an attempt at making a smart rp model with the finesse of [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B).
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* From limited testing i've found it to be my favourite of my personal 7B models. It stays pretty coherent at 8k+ ctx.
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* I like to use "Alpaca" format with "Universal-Light" for longer messages. Switching to ChatML causes the messages to be much shorter? I haven't a clue why but sometimes it's nice.
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* It doesn't seem to show many issues but i'd be willing to try to fix any problems or bugs as it shows some potential.
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) 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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* [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B)
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* [eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2](https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2)
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* [ChaoticNeutrals/Eris_7B](https://huggingface.co/ChaoticNeutrals/Eris_7B)
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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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models:
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- model: OpenPipe/mistral-ft-optimized-1227
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# No parameters necessary for base model
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- model: Epiculous/Fett-uccine-7B
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parameters:
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density: 0.53
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weight: 0.4
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- model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
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parameters:
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density: 0.53
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weight: 0.35
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- model: ChaoticNeutrals/Eris_7B
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parameters:
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density: 0.53
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weight: 0.25
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merge_method: dare_ties
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base_model: OpenPipe/mistral-ft-optimized-1227
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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