aashish1904
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README.md
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---
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base_model:
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- Sao10K/L3-8B-Stheno-v3.2
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- Sao10K/L3-8B-Niitama-v1
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- princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2
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tags:
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- mergekit
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- merge
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- roleplay
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- sillytavern
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- llama3
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- not-for-all-audiences
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license: cc-by-nc-4.0
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language:
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- en
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---
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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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# QuantFactory/L3-Rhaenys-8B-GGUF
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This is quantized version of [tannedbum/L3-Rhaenys-8B](https://huggingface.co/tannedbum/L3-Rhaenys-8B) created using llama.cpp
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# Original Model Card
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3.0 Farewell model. Next i'm going to wait Sao10K to break the bank again with a new 3.1 RP base.
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## SillyTavern
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## Text Completion presets
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```
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temp 0.9
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top_k 30
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top_p 0.75
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min_p 0.2
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rep_pen 1.1
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smooth_factor 0.25
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smooth_curve 1
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```
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## Advanced Formatting
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[Context & Instruct preset by Virt-io](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9)
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Instruct Mode: Enabled
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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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This model was merged using the slerp merge method.
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### Models Merged
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The following models were included in the merge:
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* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
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* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
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* [princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2)
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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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slices:
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- sources:
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- model: Sao10K/L3-8B-Niitama-v1
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layer_range: [0, 32]
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- model: Sao10K/L3-8B-Stheno-v3.2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Sao10K/L3-8B-Niitama-v1
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parameters:
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t:
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- filter: self_attn
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value: [0.2, 0.4, 0.6, 0.2, 0.4]
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- filter: mlp
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value: [0.8, 0.6, 0.4, 0.8, 0.6]
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- value: 0.4
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dtype: bfloat16
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slices:
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- sources:
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- model: tannedbum/L3-Niitama-Stheno-8B
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layer_range: [0, 32]
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- model: princeton-nlp/Llama-3-Instruct-8B-SimPO-v0.2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: tannedbum/L3-Niitama-Stheno-8B
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parameters:
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t:
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- filter: self_attn
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value: [0.2, 0.4, 0.6, 0.2, 0.4]
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- filter: mlp
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value: [0.8, 0.6, 0.4, 0.8, 0.6]
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- value: 0.4
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dtype: bfloat16
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```
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Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum
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