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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 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard39.610
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard28.330
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard33.990
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.700
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.120
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.280