---
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
```