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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- refuelai/Llama-3-Refueled
- cognitivecomputations/dolphin-2.9-llama3-8b
- NousResearch/Hermes-2-Theta-Llama-3-8B
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- Sao10K/L3-8B-Stheno-v3.2
- cgato/L3-TheSpice-8b-v0.8.3
model-index:
- name: ONeil-model_stock-8B
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: 67.86
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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: 36.41
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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: 9.21
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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: 7.38
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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: 10.97
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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: 28.87
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
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 [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) as a base.
### Models Merged
The following models were included in the merge:
* [refuelai/Llama-3-Refueled](https://huggingface.co/refuelai/Llama-3-Refueled)
* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
* [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: refuelai/Llama-3-Refueled
- model: cognitivecomputations/dolphin-2.9-llama3-8b
- model: cgato/L3-TheSpice-8b-v0.8.3
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- model: NousResearch/Hermes-2-Theta-Llama-3-8B
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
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_DreadPoor__ONeil-model_stock-8B)
| Metric |Value|
|-------------------|----:|
|Avg. |26.78|
|IFEval (0-Shot) |67.86|
|BBH (3-Shot) |36.41|
|MATH Lvl 5 (4-Shot)| 9.21|
|GPQA (0-shot) | 7.38|
|MuSR (0-shot) |10.97|
|MMLU-PRO (5-shot) |28.87|
|