Lewdiculous
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README.md
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---
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base_model:
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- Test157t/Yarncules-7b-128k
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- Test157t/Prima-LelantaclesV3-7b
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library_name: transformers
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tags:
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- mistral
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- quantized
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- text-generation-inference
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- merge
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- mergekit
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pipeline_tag: text-generation
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inference: false
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---
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**GGUF quantizations for [Pasta-Lake-7b](https://huggingface.co/Test157t/Pasta-Lake-7b).**
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*If you want any specific quantization to be added, feel free to ask.*
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All credits belong to the [creator](https://huggingface.co/Test157t/).
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SillyTavern preset files [here](https://huggingface.co/Test157t/Pasta-Lake-7b/tree/main/ST%20PRESETS).
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`Base⇢ GGUF(F16)⇢ GGUF(Quants)`
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Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2217](https://github.com/ggerganov/llama.cpp/releases/tag/b2217).
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# Original model information:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/Q-4HMjTgR6cpLnuW6Ghk3.png)
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### Models Merged
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The following models were included in the merge:
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* [Test157t/Pasta-PrimaMaid-7b](https://huggingface.co/Test157t/Pasta-PrimaMaid-7b)
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* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
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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: Test157t/Pasta-PrimaMaid-7b
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layer_range: [0, 32]
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- model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Test157t/Pasta-PrimaMaid-7b
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: float16
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```
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/dfYLzaMs5KU4BtbQQKzat.png)
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