README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- ties
- "7B"
- "eren23/OGNO-7b-dpo-truthful"
- "Kquant03/NeuralTrix-7B-dpo-laser"
---

# FMixIA-7B-TIES-1

A merged model using Task Interpolation for Efficient Scaling (TIES) 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**: ties

## Configuration
```yaml
models:
  - model: eren23/OGNO-7b-dpo-truthful
  - model: Kquant03/NeuralTrix-7B-dpo-laser
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: eren23/OGNO-7b-dpo-truthful
parameters:
  normalize: true
dtype: float16
```

## Usage
This model can be used with the standard transformers library:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ro-xe/FMixIA-7B-TIES-1")
tokenizer = AutoTokenizer.from_pretrained("Ro-xe/FMixIA-7B-TIES-1")
```