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---
base_model:
- mukaj/Llama-3.1-Hawkish-8B
- T145/KRONOS-8B-V1-P3
- T145/KRONOS-8B-V1-P1
- unsloth/Meta-Llama-3.1-8B-Instruct
- T145/KRONOS-8B-V1-P2
library_name: transformers
tags:
- mergekit
- merge
---
# KRONOS 8B V4
The goal with this merge is to have a significant step towards why the older TIES merges nuke the IFEval score. Present hypothesis is that merging on the non-instruct model causes this disparity, as IFEval measures instruction-following capacity. It's also possible that either P1 or P3 causes the problem.
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [mukaj/Llama-3.1-Hawkish-8B](https://huggingface.co/mukaj/Llama-3.1-Hawkish-8B)
* [T145/KRONOS-8B-V1-P3](https://huggingface.co/T145/KRONOS-8B-V1-P3)
* [T145/KRONOS-8B-V1-P1](https://huggingface.co/T145/KRONOS-8B-V1-P1)
* [T145/KRONOS-8B-V1-P2](https://huggingface.co/T145/KRONOS-8B-V1-P2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P1
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P2
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P3
- layer_range: [0, 32]
model: mukaj/Llama-3.1-Hawkish-8B
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer_source: base
```
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