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---
license: llama3.1
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Nexesenex/Llama_3.1_8b_Smarteaz_0.21_R1
- Nexesenex/Llama_3.1_8b_Smarteaz_0.11a
- Nexesenex/Llama_3.1_8b_Smarteaz_0.21_SN
model-index:
- name: Llama_3.1_8b_Smarteaz_V1.01
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: 81.51
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
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: 32.28
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
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: 23.41
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
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: 7.94
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
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: 8.2
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
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: 30.4
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_V1.01
name: Open LLM Leaderboard
---
# about
Successful merge, in the line of Smarteaz V1 70b. Can be used as the smart block for a more complex 8b merge.
# 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 [Nexesenex/Llama_3.1_8b_Smarteaz_0.11a](https://huggingface.co/Nexesenex/Llama_3.x_8b_Smarteaz_0.11a) as a base.
### Models Merged
The following models were included in the merge:
* [Nexesenex/Llama_3.1_8b_Smarteaz_0.21_R1](https://huggingface.co/Nexesenex/Llama_3.1_8b_Smarteaz_0.21_R1)
* [Nexesenex/Llama_3.1_8b_Smarteaz_0.21_SN](https://huggingface.co/Nexesenex/Llama_3.1_8b_Smarteaz_0.21_SN)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: model_stock
models:
- model: Nexesenex/Llama_3.1_8b_Smarteaz_0.21_R1
parameters:
weight: 1.0
- model: Nexesenex/Llama_3.1_8b_Smarteaz_0.21_SN
parameters:
weight: 1.0
base_model: Nexesenex/Llama_3.1_8b_Smarteaz_0.11a
dtype: bfloat16
normalize: true
chat_template: auto
tokenizer:
source: union
```
# [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/Nexesenex__Llama_3.1_8b_Smarteaz_V1.01-details)
| Metric |Value|
|-------------------|----:|
|Avg. |30.62|
|IFEval (0-Shot) |81.51|
|BBH (3-Shot) |32.28|
|MATH Lvl 5 (4-Shot)|23.41|
|GPQA (0-shot) | 7.94|
|MuSR (0-shot) | 8.20|
|MMLU-PRO (5-shot) |30.40|
|