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---
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|
|