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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- MaziyarPanahi/Calme-7B-Instruct-v0.1.1
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- mistralai/Mistral-7B-v0.1+predibase/customer_support
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---
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![](https://cdn.discordapp.com/attachments/791342238541152306/1264099835221381251/image.png?ex=669ca436&is=669b52b6&hm=129f56187c31e1ed22cbd1bcdbc677a2baeea5090761d2f1a458c8b1ec7cca4b&)
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# QuantFactory/CS-Calme-Instruct-7b-GGUF
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This is quantized version of [arcee-ai/CS-Calme-Instruct-7b](https://huggingface.co/arcee-ai/CS-Calme-Instruct-7b) created using llama.cpp
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# Original Model Card
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# CS-Calme-Instruct-7b
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CS-Calme-Instruct-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [MaziyarPanahi/Calme-7B-Instruct-v0.1.1](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.1.1)
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* [mistralai/Mistral-7B-v0.1+predibase/customer_support](https://huggingface.co/mistralai/Mistral-7B-v0.1+predibase/customer_support)
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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: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
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layer_range: [0, 32]
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- model: mistralai/Mistral-7B-v0.1+predibase/customer_support
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layer_range: [0, 32]
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merge_method: slerp
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base_model: MaziyarPanahi/Calme-7B-Instruct-v0.1.1
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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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