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README.md
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---
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base_model: Locutusque/Llama-3-Yggdrasil-8B
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inference: true
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library_name: transformers
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license: llama3
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model_creator: Locutusque
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model_name: Llama-3-Yggdrasil-8B
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pipeline_tag: text-generation
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quantized_by: afrideva
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tags:
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- mergekit
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- merge
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- gguf
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- ggml
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- quantized
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---
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# Llama-3-Yggdrasil-8B-GGUF
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Quantized GGUF model files for [Llama-3-Yggdrasil-8B](https://huggingface.co/Locutusque/Llama-3-Yggdrasil-8B) from [Locutusque](https://huggingface.co/Locutusque)
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## Original Model Card:
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# merge
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) 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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* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
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* [Locutusque/Llama-3-Hercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-Hercules-5.0-8B)
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* [Locutusque/llama-3-neural-chat-v2.2-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8b)
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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: NousResearch/Meta-Llama-3-8B
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# No parameters necessary for base model
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- model: NousResearch/Meta-Llama-3-8B-Instruct
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parameters:
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density: 0.6
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weight: 0.55
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- model: Locutusque/llama-3-neural-chat-v2.2-8b
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parameters:
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density: 0.55
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weight: 0.45
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- model: Locutusque/Llama-3-Hercules-5.0-8B
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parameters:
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density: 0.57
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weight: 0.5
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merge_method: dare_ties
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base_model: NousResearch/Meta-Llama-3-8B
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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