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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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- lazymergekit
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- OpenPipe/mistral-ft-optimized-1218
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- halbihn/NeuralHermes-2.5-Mistral-7B
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---
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> Note: This repository contains the `GGUF` 4-bit quantized variant of `halbihn/NeuralPipe-7B-slerp`. For the full version visit [the link](https://huggingface.co/halbihn/NeuralPipe-7B-slerp)
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# NeuralPipe-7B-slerp
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NeuralPipe-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
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* [halbihn/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/halbihn/NeuralHermes-2.5-Mistral-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: OpenPipe/mistral-ft-optimized-1218
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layer_range: [0, 32]
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- model: halbihn/NeuralHermes-2.5-Mistral-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: OpenPipe/mistral-ft-optimized-1218
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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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