metadata
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.
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:
Configuration
The following YAML configuration was used to produce this model:
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
Detailed results can be found here! Summarized results can be found here!
| 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 |