README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Llama-3.1-8B-TitanFusion
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- bunnycore/Llama-3.1-8B-TitanFusion-v3
- bunnycore/Llama-3.1-8B-TitanFusion-v2
- bunnycore/Llama-3.1-8B-TitanFusion
model-index:
- name: Llama-3.1-8B-TitanFusion-Mix
 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: 49.25
 name: strict accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 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: 39.54
 name: normalized accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 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: 11.4
 name: exact match
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 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: 6.04
 name: acc_norm
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 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: 12.46
 name: acc_norm
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 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: 29.95
 name: accuracy
 source:
 url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Llama-3.1-8B-TitanFusion-Mix
 name: Open LLM Leaderboard
---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [bunnycore/Llama-3.1-8B-TitanFusion](https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) as a base.

### Models Merged

The following models were included in the merge:
* [bunnycore/Llama-3.1-8B-TitanFusion-v3](https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion-v3)
* [bunnycore/Llama-3.1-8B-TitanFusion-v2](https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion-v2)
* [bunnycore/Llama-3.1-8B-TitanFusion](https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
 - model: bunnycore/Llama-3.1-8B-TitanFusion-v3
 - model: bunnycore/Llama-3.1-8B-TitanFusion-v2
 - model: bunnycore/Llama-3.1-8B-TitanFusion
merge_method: model_stock
base_model: bunnycore/Llama-3.1-8B-TitanFusion+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
normalize: false
int8_mask: true
dtype: bfloat16

```

# [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/details_bunnycore__Llama-3.1-8B-TitanFusion-Mix)

| Metric |Value|
|-------------------|----:|
|Avg. |24.77|
|IFEval (0-Shot) |49.25|
|BBH (3-Shot) |39.54|
|MATH Lvl 5 (4-Shot)|11.40|
|GPQA (0-shot) | 6.04|
|MuSR (0-shot) |12.46|
|MMLU-PRO (5-shot) |29.95|