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Successful merge, in the line of Smarteaz V1 70b. Can be used as the smart block for a more complex 8b merge.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Nexesenex/Llama_3.1_8b_Smarteaz_0.11a as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
models:
- model: Nexesenex/Llama_3.1_8b_Smarteaz_0.21_R1
parameters:
weight: 1.0
- model: Nexesenex/Llama_3.1_8b_Smarteaz_0.21_SN
parameters:
weight: 1.0
base_model: Nexesenex/Llama_3.1_8b_Smarteaz_0.11a
dtype: bfloat16
normalize: true
chat_template: auto
tokenizer:
source: union
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.62 |
| IFEval (0-Shot) | 81.51 |
| BBH (3-Shot) | 32.28 |
| MATH Lvl 5 (4-Shot) | 23.41 |
| GPQA (0-shot) | 7.94 |
| MuSR (0-shot) | 8.20 |
| MMLU-PRO (5-shot) | 30.40 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard81.510
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.280
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard23.410
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.940
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.200
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.400