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---
base_model:
- alpindale/Mistral-7B-v0.2-hf
- mistralai/Mistral-7B-Instruct-v0.2
- KoboldAI/Mistral-7B-Erebus-v3
library_name: transformers
tags:
- mergekit
- merge
---
This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Mistral-7B-Erebus-v3-Instruct-32k](https://huggingface.co/mpasila/Mistral-7B-Erebus-v3-Instruct-32k) using the default calibration dataset.
# Original Model card:
# Mistral-7B-Erebus-v3-Instruct-32k
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Merge script copied from this [ichigoberry/pandafish-2-7b-32k](https://huggingface.co/ichigoberry/pandafish-2-7b-32k).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) as a base.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [KoboldAI/Mistral-7B-Erebus-v3](https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: alpindale/Mistral-7B-v0.2-hf
# No parameters necessary for base model
- model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
density: 0.53
weight: 0.4
- model: KoboldAI/Mistral-7B-Erebus-v3
parameters:
density: 0.53
weight: 0.4
merge_method: dare_ties
base_model: alpindale/Mistral-7B-v0.2-hf
parameters:
int8_mask: true
dtype: bfloat16
```
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