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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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- chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO
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- TheDrummer/Llama-3SOME-8B-v2
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- NeverSleep/Llama-3-Lumimaid-8B-v0.1
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- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
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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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![Nymeria](https://huggingface.co/tannedbum/L3-Nymeria-v2-8B/resolve/main/Nymeria_v2.png??)
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- Upgraded SimPO.
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- A touch of 3SOME, Lumimaid and Jamet Blackroot resulting a slightly different prose and wider RP vocab.
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- Leans slightly more on nsfw than the original.
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All quants made using imatrix option with dataset provided by bartowski [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
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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/v2.0)
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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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* [chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO](https://huggingface.co/chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO)
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* [TheDrummer/Llama-3SOME-8B-v2](https://huggingface.co/TheDrummer/Llama-3SOME-8B-v2)
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* [NeverSleep/Llama-3-Lumimaid-8B-v0.1](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1)
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* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
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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: NeverSleep/Llama-3-Lumimaid-8B-v0.1
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layer_range: [0, 32]
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- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
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layer_range: [0, 32]
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merge_method: slerp
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base_model: NeverSleep/Llama-3-Lumimaid-8B-v0.1
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parameters:
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t:
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- filter: self_attn
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value: [0.7, 0.3, 0.3, 0.3]
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- filter: mlp
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value: [0.3, 0.7, 0.7, 0.7]
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- value: 0.4
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dtype: bfloat16
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L3-Lumimaid-Jamet-Blackroot-8B
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slices:
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- sources:
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- model: tannedbum/L3-Lumimaid-Jamet-Blackroot-8B
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layer_range: [0, 32]
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- model: chujiezheng/Llama-3-Instruct-8B-SimPO-ExPO
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layer_range: [0, 32]
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merge_method: slerp
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base_model: tannedbum/L3-Lumimaid-Jamet-Blackroot-8B
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parameters:
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t:
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- filter: self_attn
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value: [0.3, 0.7, 0.7, 0.7]
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- filter: mlp
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value: [0.7, 0.3, 0.3, 0.3]
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- value: 0.6
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dtype: bfloat16
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L3-SimPO-Lumimaid-Jamet-Blackroot-8B
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slices:
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- sources:
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- model: Sao10K/L3-8B-Stheno-v3.2
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layer_range: [0, 32]
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- model: TheDrummer/Llama-3SOME-8B-v2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Sao10K/L3-8B-Stheno-v3.2
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parameters:
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t:
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- filter: self_attn
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value: [0.3, 0.3, 0.7, 0.3]
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- filter: mlp
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value: [0.7, 0.7, 0.3, 0.7]
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- value: 0.4
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dtype: bfloat16
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L3-Stheno-3SOME-8B
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slices:
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- sources:
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- model: tannedbum/L3-Stheno-3SOME-8B
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layer_range: [0, 32]
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- model: tannedbum/L3-SimPO-Lumimaid-Jamet-Blackroot-8B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: tannedbum/L3-Stheno-3SOME-8B
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parameters:
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t:
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- filter: self_attn
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value: [0.4, 0.3, 0.3, 0.6]
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- filter: mlp
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value: [0.6, 0.7, 0.7, 0.4]
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- value: 0.4
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dtype: bfloat16
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L3-Nymeria-v2-8B
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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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