uploaded readme
Browse files
README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Llama-3-LewdPlay-8B-evo - GGUF
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- Model creator: https://huggingface.co/TOPAI-Network/
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- Original model: https://huggingface.co/TOPAI-Network/Llama-3-LewdPlay-8B-evo/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Llama-3-LewdPlay-8B-evo.Q2_K.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q2_K.gguf) | Q2_K | 2.96GB |
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| [Llama-3-LewdPlay-8B-evo.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
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| [Llama-3-LewdPlay-8B-evo.IQ3_S.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.IQ3_S.gguf) | IQ3_S | 2.99GB |
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| [Llama-3-LewdPlay-8B-evo.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
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| [Llama-3-LewdPlay-8B-evo.IQ3_M.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.IQ3_M.gguf) | IQ3_M | 3.52GB |
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| [Llama-3-LewdPlay-8B-evo.Q3_K.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q3_K.gguf) | Q3_K | 3.74GB |
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| [Llama-3-LewdPlay-8B-evo.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
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| [Llama-3-LewdPlay-8B-evo.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
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| [Llama-3-LewdPlay-8B-evo.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
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| [Llama-3-LewdPlay-8B-evo.Q4_0.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q4_0.gguf) | Q4_0 | 4.34GB |
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| [Llama-3-LewdPlay-8B-evo.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
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| [Llama-3-LewdPlay-8B-evo.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
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| [Llama-3-LewdPlay-8B-evo.Q4_K.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q4_K.gguf) | Q4_K | 4.58GB |
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| [Llama-3-LewdPlay-8B-evo.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
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| [Llama-3-LewdPlay-8B-evo.Q4_1.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q4_1.gguf) | Q4_1 | 4.78GB |
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| [Llama-3-LewdPlay-8B-evo.Q5_0.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q5_0.gguf) | Q5_0 | 5.21GB |
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| [Llama-3-LewdPlay-8B-evo.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
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| [Llama-3-LewdPlay-8B-evo.Q5_K.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q5_K.gguf) | Q5_K | 5.34GB |
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| [Llama-3-LewdPlay-8B-evo.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
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| [Llama-3-LewdPlay-8B-evo.Q5_1.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q5_1.gguf) | Q5_1 | 5.65GB |
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| [Llama-3-LewdPlay-8B-evo.Q6_K.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q6_K.gguf) | Q6_K | 6.14GB |
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| [Llama-3-LewdPlay-8B-evo.Q8_0.gguf](https://huggingface.co/RichardErkhov/TOPAI-Network_-_Llama-3-LewdPlay-8B-evo-gguf/blob/main/Llama-3-LewdPlay-8B-evo.Q8_0.gguf) | Q8_0 | 7.95GB |
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Original model description:
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---
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license: cc-by-nc-4.0
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base_model:
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- vicgalle/Roleplay-Llama-3-8B
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- Undi95/Llama-3-Unholy-8B-e4
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- Undi95/Llama-3-LewdPlay-8B
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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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# LewdPlay-8B
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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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The new EVOLVE merge method was used (on MMLU specifically), see below for more information!
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Unholy was used for uncensoring, Roleplay Llama 3 for the DPO train he got on top, and LewdPlay for the... lewd side.
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## Prompt template: Llama3
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```
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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{output}<|eot_id|>
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```
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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 ./mergekit/input_models/Roleplay-Llama-3-8B_213413727 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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* ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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* ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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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: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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dtype: bfloat16
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merge_method: dare_ties
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parameters:
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int8_mask: 1.0
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normalize: 0.0
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slices:
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- sources:
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- layer_range: [0, 4]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 1.0
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weight: 0.6861808716092435
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- layer_range: [0, 4]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 0.6628290134113985
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weight: 0.5815923052193855
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- layer_range: [0, 4]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 1.0
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weight: 0.5113886163963061
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- sources:
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- layer_range: [4, 8]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 0.892655547455918
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weight: 0.038732602391021484
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- layer_range: [4, 8]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 1.0
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weight: 0.1982145486303527
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- layer_range: [4, 8]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 1.0
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weight: 0.6843011350690802
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- sources:
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- layer_range: [8, 12]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 0.7817511027396784
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weight: 0.13053333213489704
|
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- layer_range: [8, 12]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 0.6963703515864826
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weight: 0.20525481492667985
|
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- layer_range: [8, 12]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 0.6983086326765777
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weight: 0.5843953969574106
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- sources:
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- layer_range: [12, 16]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 0.9632895768462915
|
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weight: 0.2101146706607748
|
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- layer_range: [12, 16]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 0.597557434542081
|
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weight: 0.6728172621848589
|
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- layer_range: [12, 16]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 0.756263557607837
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weight: 0.2581423726361908
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- sources:
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- layer_range: [16, 20]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 1.0
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weight: 0.2116035543552448
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- layer_range: [16, 20]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 1.0
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weight: 0.22654226422958418
|
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- layer_range: [16, 20]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 0.8925914810507647
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weight: 0.42243766315440867
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- sources:
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- layer_range: [20, 24]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 0.7697608089825734
|
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weight: 0.1535118632140203
|
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- layer_range: [20, 24]
|
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 0.9886758076773643
|
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weight: 0.3305040603868546
|
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- layer_range: [20, 24]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 1.0
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weight: 0.40670083428654535
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- sources:
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- layer_range: [24, 28]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 1.0
|
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weight: 0.4542810478500622
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- layer_range: [24, 28]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
|
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+
density: 0.8330662483310117
|
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weight: 0.2587495367324508
|
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- layer_range: [24, 28]
|
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+
model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 0.9845313983551542
|
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weight: 0.40378452705975915
|
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- sources:
|
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- layer_range: [28, 32]
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model: ./mergekit/input_models/Llama-3-LewdPlay-8B-e3_2981937066
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parameters:
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density: 1.0
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weight: 0.2951962192288415
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+
- layer_range: [28, 32]
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model: ./mergekit/input_models/Llama-3-Unholy-8B-e4_1440388923
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parameters:
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density: 0.960315594933433
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weight: 0.13142971773782525
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- layer_range: [28, 32]
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model: ./mergekit/input_models/Roleplay-Llama-3-8B_213413727
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parameters:
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density: 1.0
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weight: 0.30838472094518804
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```
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## Support
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If you want to support me, you can [here](https://ko-fi.com/undiai).
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