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---
base_model:
- NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
- rombodawg/Open_Gpt4_8x7B_v0.2
- mistralai/Mixtral-8x7B-Instruct-v0.1
tags:
- mergekit
- merge
- not-for-all-audiences
- nsfw
license: cc-by-nc-4.0
---
<!-- description start -->
## Description
This repo contains fp16 files of NoromaidxOpenGPT4-2.
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.
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).
After further testing and usage, the two model was released, because they each have their own qualities.
You can download the imatrix file to do many other quant [HERE](https://huggingface.co/NeverSleep/NoromaidxOpenGPT4-2/blob/main/imatrix-2.dat).
<!-- description end -->
<!-- prompt-template start -->
### Prompt template:
## Alpaca
```
### Instruction:
{system prompt}
### Input:
{prompt}
### Response:
{output}
```
## Mistral
```
[INST] {prompt} [/INST]
```
## Merge Details
### Merge Method
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.
### Models Merged
The following models were included in the merge:
* [NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3](https://huggingface.co/NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3)
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mixtral-8x7B-Instruct-v0.1
parameters:
density: .5
weight: 1
- model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
parameters:
density: .5
weight: .7
merge_method: ties
base_model: rombodawg/Open_Gpt4_8x7B_v0.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```
### Support
If you want to support us, you can [here](https://ko-fi.com/undiai). |