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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Solshine/reflection-llama-3.1-8B
- Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
model-index:
- name: Llama-3-1-big-thoughtful-passthrough-merge-2
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: 25.47
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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: 5.01
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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: 0.15
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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: 1.23
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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: 6.75
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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: 2.06
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
name: Open LLM Leaderboard
---
# State of the art for size on Open LLM Leaderboard on acc_norm score
SOTA at size level as of acc_norm score on 9/30/2024, viewable at open-llm-leaderboard/Solshine__Llama-3-1-big-thoughtful-passthrough-merge-2-details
acc_norm of 31.5% according to open llm leaderboard test result dataset.
# 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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [Solshine/reflection-llama-3.1-8B](https://huggingface.co/Solshine/reflection-llama-3.1-8B)
* [Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder](https://huggingface.co/Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder)
* [mlabonne/Hermes-3-Llama-3.1-8B-lorablated](https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-8B-lorablated)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- layer_range: [0, 16]
model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- sources:
- layer_range: [4, 20]
model: Solshine/reflection-llama-3.1-8B
- sources:
- layer_range: [8, 24]
model: Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
- sources:
- layer_range: [12, 28]
model: Solshine/reflection-llama-3.1-8B
- sources:
- layer_range: [16, 32]
model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated
merge_method: passthrough
dtype: float16
```
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