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--- |
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base_model: |
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- TeeZee/Kyllene-34B-v1.1 |
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- Doctor-Shotgun/Nous-Capybara-limarpv3-34B |
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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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language: |
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- en |
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--- |
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# Kyllima 34B v1 |
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## Model Details |
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This is a simple 50/50 merge of two of my favorite Yi 34B-based models for roleplay and creative writing, created using [mergekit](https://github.com/cg123/mergekit) on [Arcee.ai](https://app.arcee.ai/). |
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There's a good amount of Nous Capybara 34B in here, some Bagel DPO, Lima RP v3, and other goodness. Less sloppy thanks to Kyllene. 200k context. Uncensored. |
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Use with the metadata prompt format, Alpaca-LimaRP, or Vicuna. |
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Recommended settings: 0.8-1 temp, 1.1-1.2 rep pen, 1 top P, 0.05 min P, 40 top K. |
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Add \</s> to stop strings, and \/n \{{user}} or \[INST] if necessary. |
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I use a slightly modified version of RisuAI's default system prompt with good results. I suggest adding a couple lines to the system prompt telling the model to write in complete sentences, and NOT to write prompts to itself. |
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It's sensitive to small changes in settings and to the style/format of your own writing. |
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The original upload had a broken tokenizer. If you downloaded before 10/2/24, please re-download. |
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Static GGUF available [here](https://huggingface.co/sirmyrrh/Kyllima-34B-v1-GGUF) or [here](https://huggingface.co/mradermacher/Kyllima-34B-v1-GGUF). |
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Imatrix GGUF available [here](https://huggingface.co/mradermacher/Kyllima-34B-v1-i1-GGUF). With thanks to [mradermacher](https://huggingface.co/mradermacher/). |
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### Merge Method |
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [TeeZee/Kyllene-34B-v1.1](https://huggingface.co/TeeZee/Kyllene-34B-v1.1) 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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* [TeeZee/Kyllene-34B-v1.1](https://huggingface.co/TeeZee/Kyllene-34B-v1.1) |
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* [Doctor-Shotgun/Nous-Capybara-limarpv3-34B](https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B) |
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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: TeeZee/Kyllene-34B-v1.1 |
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chat_template: auto |
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dtype: float16 |
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merge_method: ties |
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models: |
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- model: TeeZee/Kyllene-34B-v1.1 |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: Doctor-Shotgun/Nous-Capybara-limarpv3-34B |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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parameters: |
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embed_slerp: true |
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int8_mask: true |
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normalize: false |
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tokenizer_source: base |
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``` |
