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---
base_model:
- grimjim/HuatuoSkywork-o1-Llama-3.1-8B
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
license: llama3.1
model-index:
- name: SauerHuatuoSkywork-o1-Llama-3.1-8B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: wis-k/instruction-following-eval
split: train
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 52.19
name: averaged accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: SaylorTwift/bbh
split: test
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 32.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: lighteval/MATH-Hard
split: test
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 16.99
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
split: train
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 9.51
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
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: 15.79
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
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: 33.23
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B
name: Open LLM Leaderboard
---
# SauerHuatuoSkywork-o1-Llama-3.1-8B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
An experiment to hybridize a relatively high scoring Llama 3.1 8B model with o1 reasoning capabilities.
Made with Llama.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [grimjim/HuatuoSkywork-o1-Llama-3.1-8B](https://huggingface.co/grimjim/HuatuoSkywork-o1-Llama-3.1-8B)
* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: grimjim/HuatuoSkywork-o1-Llama-3.1-8B
- model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
merge_method: slerp
base_model: grimjim/HuatuoSkywork-o1-Llama-3.1-8B
parameters:
t:
- value: 0.96
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/grimjim__SauerHuatuoSkywork-o1-Llama-3.1-8B-details)!
Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=grimjim%2FSauerHuatuoSkywork-o1-Llama-3.1-8B&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
| Metric |Value (%)|
|-------------------|--------:|
|**Average** | 26.63|
|IFEval (0-Shot) | 52.19|
|BBH (3-Shot) | 32.09|
|MATH Lvl 5 (4-Shot)| 16.99|
|GPQA (0-shot) | 9.51|
|MuSR (0-shot) | 15.79|
|MMLU-PRO (5-shot) | 33.23|