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---
base_model:
- MaziyarPanahi/calme-3.2-instruct-78b
- dfurman/CalmeRys-78B-Orpo-v0.1
library_name: transformers
tags:
- mergekit
- merge
---
# **Calme-Ties-78B**
Calme-Ties-78B is a 78-billion-parameter model merged using the TIES methodology, based on the Qwen2 architecture. It integrates two sub-base models: *calme-3.2-instruct-78B* by MaziyarPanahi and *CalmeRys-78B-Orpo-v0.1* by dfurman, which serves as the base model. The merging process assigns equal weight and density to both models, with additional parameters enabling normalization and int8 masking. The model operates using the *bfloat16* data type.
| Model | Model Name | Model Link |
|----------|--------------------------------|------------|
| Base Model | CalmeRys-78B-Orpo-v0.1 | [CalmeRys-78B-Orpo-v0.1](https://huggingface.co/dfurman/CalmeRys-78B-Orpo-v0.1) |
| Model 1 | calme-3.2-instruct-78B | [calme-3.2-instruct-78B](https://huggingface.co/MaziyarPanahi/calme-3.2-instruct-78b) |
| Model 2 | CalmeRys-78B-Orpo-v0.1 | [CalmeRys-78B-Orpo-v0.1](https://huggingface.co/dfurman/CalmeRys-78B-Orpo-v0.1) |
# **Merged Models**
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
# **Merge Method**
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [dfurman/CalmeRys-78B-Orpo-v0.1](https://huggingface.co/dfurman/CalmeRys-78B-Orpo-v0.1) as a base.
# **Models Merged**
The following models were included in the merge:
* [MaziyarPanahi/calme-3.2-instruct-78b](https://huggingface.co/MaziyarPanahi/calme-3.2-instruct-78b)
# **Configuration**
The following YAML configuration was used to produce this model:
```yaml
models:
- model: MaziyarPanahi/calme-3.2-instruct-78b
parameters:
weight: 1
density: 1
merge_method: ties
base_model: dfurman/CalmeRys-78B-Orpo-v0.1
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
```
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