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base_model:
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- argilla/notus-7b-v1
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- ajibawa-2023/Code-Mistral-7B
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- HuggingFaceH4/mistral-7b-anthropic
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- Undi95/BigL-7B
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library_name: transformers
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tags:
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---
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [HuggingFaceH4/mistral-7b-anthropic](https://huggingface.co/HuggingFaceH4/mistral-7b-anthropic) as a base.
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### Models Merged
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* [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)
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* [ajibawa-2023/Code-Mistral-7B](https://huggingface.co/ajibawa-2023/Code-Mistral-7B)
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* [Undi95/BigL-7B](https://huggingface.co/Undi95/BigL-7B)
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- model: Undi95/BigL-7B
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parameters:
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density: 0.9
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weight: 0.8
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- model: ajibawa-2023/Code-Mistral-7B
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parameters:
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density: 0.8
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weight: 0.7
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- model: HuggingFaceH4/mistral-7b-anthropic
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parameters:
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density: 0.9
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weight: 0.8
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- model: argilla/notus-7b-v1
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parameters:
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density: 0.3
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weight: 0.3
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merge_method: ties
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base_model: HuggingFaceH4/mistral-7b-anthropic
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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---
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library_name: transformers
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- astral
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- demo
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- mistral
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### astral-demo-2
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## Overview
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astral-demo-2 is a streamlined language model designed for quick demonstrations and insights into NLP capabilities, focusing on text generation and analysis.
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## Features
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- Efficient Text Generation: Quickly produces text for a variety of applications.
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- Compact and Fast: Optimized for speed, making it ideal for demos and prototyping.
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- Prototype Development: Tests ideas in conversational AI and content generation.
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## Performance
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Balances performance with accuracy, providing a practical demonstration of NLP technology in action.
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- **Developed by:** aww
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- **Model type:** Mistral
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