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---
base_model:
- FreedomIntelligence/HuatuoGPT-o1-8B
- Skywork/Skywork-o1-Open-Llama-3.1-8B
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
license: llama3.1
model-index:
- name: HuatuoSkywork-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: 39.61
name: averaged accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-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: 28.33
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-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: 33.99
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-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: 5.7
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-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: 11.12
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-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: 23.28
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
name: Open LLM Leaderboard
---
# HuatuoSkywork-o1-Llama-3.1-8B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This is an experiment to see what happens when two o1-inspired models are merged.
The result achieves an unexpectedly high MATH Lvl 5 benchmark of 33.99%.
This model is capable of roleplay text completion, but it will tend to drive narrative along chain-of-thought lines.
Technically, an assistant persona is a role-play, so this model could be an interesting or good fit, depending on one's taste.
Built 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:
* [FreedomIntelligence/HuatuoGPT-o1-8B](https://huggingface.co/FreedomIntelligence/HuatuoGPT-o1-8B)
* [Skywork/Skywork-o1-Open-Llama-3.1-8B](https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Skywork/Skywork-o1-Open-Llama-3.1-8B
- model: FreedomIntelligence/HuatuoGPT-o1-8B
merge_method: slerp
base_model: Skywork/Skywork-o1-Open-Llama-3.1-8B
parameters:
t:
- value: 0.5
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__HuatuoSkywork-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%2FHuatuoSkywork-o1-Llama-3.1-8B&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
| Metric |Value (%)|
|-------------------|--------:|
|**Average** | 23.67|
|IFEval (0-Shot) | 39.61|
|BBH (3-Shot) | 28.33|
|MATH Lvl 5 (4-Shot)| 33.99|
|GPQA (0-shot) | 5.70|
|MuSR (0-shot) | 11.12|
|MMLU-PRO (5-shot) | 23.28|
|