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--- |
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base_model: |
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- tarotscientist/llama-2-7b-tarotreader |
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- Nitral-Archive/HerculeanSea-7b-128k |
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- Norquinal/Mistral-7B-storywriter |
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- teknium/llama-deus-7b-v3-lora-merged |
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- Undi95/BigL-7B |
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- Undi95/MistRP-Dolphin-7B |
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- Undi95/Toppy-M-7B |
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- NousResearch/Yarn-Mistral-7b-128k |
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- Undi95/Mistral-ClaudeLimaRP-v3-7B |
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- teknium/Mistral-Trismegistus-7B |
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- alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic |
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- CallComply/zephyr-7b-beta-128k |
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- teknium/Hermes-Trismegistus-Mistral-7B |
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- Undi95/LewdMistral-7B-0.2 |
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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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# 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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### 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 [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) 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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* [tarotscientist/llama-2-7b-tarotreader](https://huggingface.co/tarotscientist/llama-2-7b-tarotreader) |
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* [Nitral-Archive/HerculeanSea-7b-128k](https://huggingface.co/Nitral-Archive/HerculeanSea-7b-128k) |
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* [Norquinal/Mistral-7B-storywriter](https://huggingface.co/Norquinal/Mistral-7B-storywriter) |
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* [teknium/llama-deus-7b-v3-lora-merged](https://huggingface.co/teknium/llama-deus-7b-v3-lora-merged) |
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* [Undi95/BigL-7B](https://huggingface.co/Undi95/BigL-7B) |
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* [Undi95/MistRP-Dolphin-7B](https://huggingface.co/Undi95/MistRP-Dolphin-7B) |
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* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B) |
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* [Undi95/Mistral-ClaudeLimaRP-v3-7B](https://huggingface.co/Undi95/Mistral-ClaudeLimaRP-v3-7B) |
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* [teknium/Mistral-Trismegistus-7B](https://huggingface.co/teknium/Mistral-Trismegistus-7B) |
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* [alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic](https://huggingface.co/alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic) |
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* [CallComply/zephyr-7b-beta-128k](https://huggingface.co/CallComply/zephyr-7b-beta-128k) |
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* [teknium/Hermes-Trismegistus-Mistral-7B](https://huggingface.co/teknium/Hermes-Trismegistus-Mistral-7B) |
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* [Undi95/LewdMistral-7B-0.2](https://huggingface.co/Undi95/LewdMistral-7B-0.2) |
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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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### This the config.yml for ABC_Books/test001 ### |
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models: |
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### Models that contribute a large 128K context window ### |
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- model: CallComply/zephyr-7b-beta-128k |
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parameters: |
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weight: 0.1154 |
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density: 0.9 |
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- model: Nitral-Archive/HerculeanSea-7b-128k |
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parameters: |
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weight: 0.1154 |
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density: 0.9 |
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- model: NousResearch/Yarn-Mistral-7b-128k |
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parameters: |
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weight: 0.1154 |
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density: 0.9 |
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### Models with finetune training on occult knownledge ### |
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- model: teknium/llama-deus-7b-v3-lora-merged |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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- model: teknium/Hermes-Trismegistus-Mistral-7B |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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- model: alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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- model: tarotscientist/llama-2-7b-tarotreader |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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- model: teknium/Mistral-Trismegistus-7B |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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### Talkative model with a large context window ### |
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- model: Norquinal/Mistral-7B-storywriter |
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parameters: |
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weight: 0.0769 |
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density: 0.9 |
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### Models with finetune training to be uncensored use some crass diction ### |
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- model: Undi95/BigL-7B |
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parameters: |
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weight: 0.0384 |
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density: 0.9 |
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- model: Undi95/LewdMistral-7B-0.2 |
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parameters: |
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weight: 0.0385 |
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density: 0.9 |
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- model: Undi95/MistRP-Dolphin-7B |
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parameters: |
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weight: 0.0385 |
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density: 0.9 |
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- model: Undi95/Mistral-ClaudeLimaRP-v3-7B |
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parameters: |
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weight: 0.0385 |
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density: 0.9 |
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- model: Undi95/Toppy-M-7B |
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parameters: |
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weight: 0.0385 |
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density: 0.9 |
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### The use of DARES has been shown to “Densify” standard model lending to a more robust model when paired with a high “density:” numbers ### |
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merge_method: dare_ties |
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### This model best exemplifies the closest match to all of the features needed in the final model ### |
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base_model: NousResearch/Yarn-Mistral-7b-128k |
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parameters: |
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### When “densifing” models the model size tends to grow without normalize |
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normalize: true |
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int8_mask: true |
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dtype: float16 |
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``` |
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