README.md

---
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
model-index:
- name: KRONOS-8B-V4
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 78.89
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 30.14
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 18.58
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 5.26
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 7.77
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 30.95
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V4
      name: Open LLM Leaderboard
---
# 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
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/T145__KRONOS-8B-V4-details)!
Summarized results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145/KRONOS-8B-V4)!

|      Metric       |% Value|
|-------------------|------:|
|Avg.               |  28.60|
|IFEval (0-Shot)    |  78.89|
|BBH (3-Shot)       |  30.14|
|MATH Lvl 5 (4-Shot)|  18.58|
|GPQA (0-shot)      |   5.26|
|MuSR (0-shot)      |   7.77|
|MMLU-PRO (5-shot)  |  30.95|