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README.md
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---
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base_model:
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- ChaoticNeutrals/BuRP_7B
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- Endevor/InfinityRP-v1-7B
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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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- roleplay
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license: other
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inference: false
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language:
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- en
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---
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This repository hosts GGUF-IQ-Imatrix quants for [jeiku/BuRPInfinity_9B](https://huggingface.co/jeiku/BuRPInfinity_9B).
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Thanks @jeiku for merging this!
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This is an experimental model. Feedback is appreciated as always.
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**Steps:**
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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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*Using the latest llama.cpp at the time.*
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```python
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quantization_options = [
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"Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
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"Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
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]
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```
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---
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# BuRPInfinity_9B
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/l8WTAhHEV-SKQ8_BZs_ZH.jpeg)
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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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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* [ChaoticNeutrals/BuRP_7B](https://huggingface.co/ChaoticNeutrals/BuRP_7B)
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* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
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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: Endevor/InfinityRP-v1-7B
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layer_range: [0, 20]
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- sources:
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- model: ChaoticNeutrals/BuRP_7B
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layer_range: [12, 32]
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merge_method: passthrough
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dtype: float16
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```
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