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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.
Although IFEval benched lower than the SauerkrautLM mode, every other benchmark improved from the addition of the o1 merge at low weight.
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|
|