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---
license: apache-2.0
tags:
- merge
- mergekit
- dare_ties
- "7B"
- "eren23/OGNO-7b-dpo-truthful"
- "Kquant03/NeuralTrix-7B-dpo-laser"
---
# MergedAI-7B-DARE-0
A merged model using Dynamic Adaptive Region Ensemble (DARE) with TIES sign election step using [mergekit](https://github.com/cg123/mergekit).
## Model Details
- **Base Models**:
* [eren23/OGNO-7b-dpo-truthful](https://huggingface.co/eren23/OGNO-7b-dpo-truthful)
* [Kquant03/NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser)
- **Merge Method**: dare_ties
## Configuration
```yaml
models:
- model: eren23/OGNO-7b-dpo-truthful
- model: Kquant03/NeuralTrix-7B-dpo-laser
parameters:
density: 0.53
weight: 0.95
merge_method: dare_ties
base_model: eren23/OGNO-7b-dpo-truthful
parameters:
int8_mask: true
dtype: bfloat16
```
## Usage
This model can be used with the standard transformers library:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Ro-xe/MergedAI-7B-DARE-0")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/MergedAI-7B-DARE-0")
``` |