Create README.md
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README.md
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---
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base_model:
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- NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
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- rombodawg/Open_Gpt4_8x7B_v0.2
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- mistralai/Mixtral-8x7B-Instruct-v0.1
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tags:
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- mergekit
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- merge
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- not-for-all-audiences
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- nsfw
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license: cc-by-nc-4.0
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---
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<!-- description start -->
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## Description
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This repo contains fp16 files of NoromaidxOpenGPT4-2.
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The model was created by merging Noromaid-8x7b-Instruct with Open_Gpt4_8x7B_v0.2 the exact same way [Rombodawg](https://huggingface.co/rombodawg) done his merge.
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The only difference between [NoromaidxOpenGPT4-1](https://huggingface.co/NeverSleep/NoromaidxOpenGPT4-1-GGUF-iMatrix/) and [NoromaidxOpenGPT4-2](https://huggingface.co/NeverSleep/NoromaidxOpenGPT4-2-GGUF-iMatrix/) is that the first iteration use Mixtral-8x7B as a base for the merge (f16), where the second use Open_Gpt4_8x7B_v0.2 as a base (bf16).
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After further testing and usage, the two model was released, because they each have their own qualities.
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You can download the imatrix file to do many other quant [HERE](https://huggingface.co/NeverSleep/NoromaidxOpenGPT4-2/blob/main/imatrix-2.dat).
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<!-- description end -->
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<!-- prompt-template start -->
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### Prompt template:
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## Alpaca
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```
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### Instruction:
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{system prompt}
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### Input:
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{prompt}
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### Response:
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{output}
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```
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## Mistral
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```
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[INST] {prompt} [/INST]
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```
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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 [rombodawg/Open_Gpt4_8x7B_v0.2](https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2) 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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* [NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3](https://huggingface.co/NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3)
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* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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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: mistralai/Mixtral-8x7B-Instruct-v0.1
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parameters:
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density: .5
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weight: 1
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- model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
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parameters:
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density: .5
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weight: .7
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merge_method: ties
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base_model: rombodawg/Open_Gpt4_8x7B_v0.2
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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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### Support
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If you want to support us, you can [here](https://ko-fi.com/undiai).
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