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Model: Kquant03/Samlagast-7B-bf16 Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- flemmingmiguel/MBX-7B-v3
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- paulml/NeuralOmniWestBeaglake-7B
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- FelixChao/Faraday-7B
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- paulml/NeuralOmniBeagleMBX-v3-7B
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tags:
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- mergekit
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- merge
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license: apache-2.0
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language:
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- en
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---
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# To see what will happen.
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[Join our Discord!](https://discord.gg/awyCNx3nnw)
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[GGUF FILES HERE](https://huggingface.co/Kquant03/Samlagast-7B-GGUF)
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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 Method
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This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [paulml/NeuralOmniBeagleMBX-v3-7B](https://huggingface.co/paulml/NeuralOmniBeagleMBX-v3-7B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
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* [paulml/NeuralOmniWestBeaglake-7B](https://huggingface.co/paulml/NeuralOmniWestBeaglake-7B)
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* [FelixChao/Faraday-7B](https://huggingface.co/FelixChao/Faraday-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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models:
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- model: paulml/NeuralOmniWestBeaglake-7B
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parameters:
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weight: 1
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- model: FelixChao/Faraday-7B
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parameters:
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weight: 1
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- model: flemmingmiguel/MBX-7B-v3
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parameters:
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weight: 1
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- model: paulml/NeuralOmniBeagleMBX-v3-7B
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parameters:
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weight: 1
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merge_method: task_arithmetic
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base_model: paulml/NeuralOmniBeagleMBX-v3-7B
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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