Lewdiculous
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README.md
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---
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library_name: transformers
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license: other
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language:
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- en
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tags:
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- gguf
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- quantized
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- roleplay
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- imatrix
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- mistral
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- merge
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inference: false
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---
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This repository hosts GGUF-Imatrix quantizations for [Test157t/Eris-Daturamix-7b
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```
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Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
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```
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```python
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quantization_options = [
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"Q4_K_M", "IQ4_XS", "Q5_K_M", "
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"Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
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]
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```
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For imatrix data generation, kalomaze's `groups_merged.txt` with added roleplay chats was used, you can find it [here](https://huggingface.co/Lewdiculous/Datura_7B-GGUF-Imatrix/blob/main/imatrix-with-rp-format-data.txt).
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The goal is to measure the (hopefully positive) impact of this data for consistent formatting in roleplay chatting scenarios.
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**Alt-img:**
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/reCtUSmNO6S1mSjLms3kT.png)
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**Original model information:**
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/O8bRFd7O9TDgecUy-mIWb.png)
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The following models were included in the merge:
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* [ResplendentAI/Datura_7B](https://huggingface.co/ResplendentAI/Datura_7B)
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* [
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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:
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layer_range: [0, 32]
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- model: ResplendentAI/Datura_7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model:
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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: bfloat16
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```
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---
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library_name: transformers
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license: other
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datasets:
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- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED
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- ResplendentAI/Synthetic_Soul_1k
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language:
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- en
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tags:
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- mistral
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- merge
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inference: false
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---
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This repository hosts GGUF-Imatrix quantizations for [Test157t/Eris-Daturamix-7b](https://huggingface.co/Test157t/Eris-Daturamix-7b).
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```
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Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
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```
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```python
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quantization_options = [
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"Q4_K_M", "IQ4_XS", "Q5_K_M", "Q6_K",
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"Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
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]
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```
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The goal is to measure the (hopefully positive) impact of this data for consistent formatting in roleplay chatting scenarios.
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**Original model information:**
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/FtEEuyGni5M-cxkYYBBHw.jpeg)
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+
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The following models were included in the merge:
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* [ResplendentAI/Datura_7B](https://huggingface.co/ResplendentAI/Datura_7B)
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* [Test157t/Eris-Floramix-7b](https://huggingface.co/Test157t/Eris-Floramix-7b)
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### Configuration
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```yaml
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slices:
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- sources:
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- model: Test157t/Eris-Floramix-7b
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layer_range: [0, 32]
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- model: ResplendentAI/Datura_7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: Test157t/Eris-Floramix-7b
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parameters:
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t:
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- filter: self_attn
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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: bfloat16
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```
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