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Update README.md
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README.md
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- roleplay
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- imatrix
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- mistral
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inference: false
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---
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This repository hosts GGUF-Imatrix quantizations for [
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```python
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quantization_options = [
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"
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"Q8_0", "
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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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**
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![image/
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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](https://huggingface.co/Test157t/Eris-Daturamix-7b).
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To be uploaded:
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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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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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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/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: [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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