ToastyPigeon
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README.md
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---
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base_model:
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- unsloth/Mistral-Small-Instruct-2409
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- ToastyPigeon/mistral-small-springdragon-qlora
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- unsloth/Mistral-Small-Instruct-2409
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- unsloth/Mistral-Small-Instruct-2409
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- Alfitaria/mistral-small-fujin-qlora
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- nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
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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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---
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#
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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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### Merge Method
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* [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) + [ToastyPigeon/mistral-small-springdragon-qlora](https://huggingface.co/ToastyPigeon/mistral-small-springdragon-qlora)
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* [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) + [Alfitaria/mistral-small-fujin-qlora](https://huggingface.co/Alfitaria/mistral-small-fujin-qlora)
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* [nbeerbower/Mistral-Small-Gutenberg-Doppel-22B](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B)
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* output/ms-creative
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base_model: unsloth/Mistral-Small-Instruct-2409
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merge_method: task_arithmetic
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slices:
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- sources:
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- layer_range: [0, 56]
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model: output/ms-creative
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parameters:
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weight: 0.3
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- layer_range: [0, 56]
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model: nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
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parameters:
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weight: 0.6
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- layer_range: [0, 56]
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model: unsloth/Mistral-Small-Instruct-2409+Alfitaria/mistral-small-fujin-qlora
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parameters:
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weight: 0.4
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- layer_range: [0, 56]
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model: unsloth/Mistral-Small-Instruct-2409+ToastyPigeon/mistral-small-springdragon-qlora
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parameters:
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weight: 0.1
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- layer_range: [0, 56]
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model: unsloth/Mistral-Small-Instruct-2409
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```
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---
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base_model:
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- unsloth/Mistral-Small-Instruct-2409
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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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---
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# MS-Meadowlark-22B
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A roleplay and storywriting model based on Mistral Small 22B.
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Datasets used in this model:
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- [Dampfinchen/Creative_Writing-Multiturn](https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn) at 16k
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- [Fizzarolli/rosier-dataset](https://huggingface.co/datasets/Fizzarolli/rosier-dataset) + [Alfitaria/body-inflation-org](https://huggingface.co/datasets/Alfitaria/body-inflation-org) at 16k
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- [ToastyPigeon/SpringDragon](https://huggingface.co/datasets/ToastyPigeon/SpringDragon) at 8k
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Each dataset was trained separately onto Mistral Small Instruct, and then the component models were merged along with [nbeerbower/Mistral-Small-Gutenberg-Doppel-22B](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B) to create Meadowlark.
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I tried different blends of the component models, and this one seems to be the most stable while retaining creativity and unpredictability added by the trained data.
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# Instruct Format
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Rosier/bodyinf and SpringDragon were trained in completion format. This model should work with [Kobold Lite](https://lite.koboldai.net/) in Adventure Mode and Story Mode.
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Creative_Writing_Multiturn
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