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--- |
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base_model: |
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- TheBloke/Llama-2-13B-fp16 |
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- Masterjp123/SnowyRP-FinalV1-L2-13B |
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- Masterjp123/Snowyrp-V2B-P1 |
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- sauce1337/BerrySauce-L2-13b |
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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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# Model |
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This is the Bf16 unquantized version of SnowyRP V2 Beta And the First Public Beta Model in the SnowyRP series of models! |
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[BF16](https://huggingface.co/Masterjp123/SnowyRP-V2-13B-L2_BetaTest) |
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NOTE: this model has gave me issues when I tried to quantize it, So I guess if you want, IDK get the bloke the do it, after all they do stuff better than me anyways. |
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## Merge Details |
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just originally made V2beta to be a test, But it seems like it is good, So I am quantizing it. |
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These models CAN and WILL produce X rated or harmful content, due to being heavily uncensored in a attempt to not limit or make the model worse. |
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This Model has a Very good knowledge base and understands anatomy decently, Plus this Model is VERY versitle and is great for General assistant work, RP and ERP, RPG RPs and much more. |
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## Model Use: |
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This model is very good... WITH THE RIGHT SETTINGS. |
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I personally use microstat mixed with dynamic temp with epsion cut off and eta cut off. |
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``` |
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Optimal Settings (so far) |
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Microstat Mode: 2 |
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tau: 2.95 |
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eta: 0.05 |
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Dynamic Temp |
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min: 0.25 |
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max: 1.8 |
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Cut offs |
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epsilon: 3 |
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eta: 3 |
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``` |
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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 [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) 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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* [Masterjp123/SnowyRP-FinalV1-L2-13B](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B) |
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* [posicube/Llama2-chat-AYB-13B](https://huggingface.co/posicube/Llama2-chat-AYB-13B) |
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* [Sao10K/Stheno-1.8-L2-13B](https://huggingface.co/Sao10K/Stheno-1.8-L2-13B) |
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* [ValiantLabs/ShiningValiantXS](https://huggingface.co/ValiantLabs/ShiningValiantXS) |
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* [sauce1337/BerrySauce-L2-13b](https://huggingface.co/sauce1337/BerrySauce-L2-13b) |
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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: |
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model: |
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path: TheBloke/Llama-2-13B-fp16 |
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dtype: bfloat16 |
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merge_method: ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 1.0 |
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slices: |
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- sources: |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: Masterjp123/Snowyrp-V2B-P1 |
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parameters: |
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density: [1.0, 0.7, 0.1] |
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weight: 1.0 |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: Masterjp123/SnowyRP-FinalV1-L2-13B |
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parameters: |
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density: 0.5 |
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weight: [0.0, 0.3, 0.7, 1.0] |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: sauce1337/BerrySauce-L2-13b |
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parameters: |
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density: 0.33 |
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weight: |
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- filter: mlp |
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value: 0.5 |
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- value: 0.0 |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: TheBloke/Llama-2-13B-fp16 |
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``` |
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for Masterjp123/Snowyrp-V2B-P1 |
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```yaml |
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base_model: |
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model: |
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path: TheBloke/Llama-2-13B-fp16 |
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dtype: bfloat16 |
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merge_method: ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 1.0 |
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slices: |
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- sources: |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: Sao10K/Stheno-1.8-L2-13B |
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parameters: |
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density: [1.0, 0.7, 0.1] |
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weight: 1.0 |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: ValiantLabs/ShiningValiantXS |
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parameters: |
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density: 0.5 |
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weight: [0.0, 0.3, 0.7, 1.0] |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: posicube/Llama2-chat-AYB-13B |
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parameters: |
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density: 0.33 |
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weight: |
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- filter: mlp |
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value: 0.5 |
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- value: 0.0 |
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- layer_range: [0, 40] |
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model: |
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model: |
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path: TheBloke/Llama-2-13B-fp16 |
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``` |
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