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--- |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- zelk12/MT1-Gen2-gemma-2-9B |
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- zelk12/MT-Gen2-gemma-2-9B |
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model-index: |
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- name: MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 79.56 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 43.84 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 13.82 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 13.42 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 13.23 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 37.47 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT-Merge2-MU-gemma-2-MTg2MT1g2-9B |
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name: Open LLM Leaderboard |
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--- |
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# Quants |
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Provided by [@mradermacher](https://huggingface.co/mradermacher) |
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GGUF Static: https://huggingface.co/mradermacher/MT-Merge2-IF-gemma-2-MT4g2MT1g2-9B-GGUF |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [zelk12/MT1-Gen2-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen2-gemma-2-9B) |
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* [zelk12/MT-Gen2-gemma-2-9B](https://huggingface.co/zelk12/MT-Gen2-gemma-2-9B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: zelk12/MT-Gen2-gemma-2-9B |
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- model: zelk12/MT1-Gen2-gemma-2-9B |
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merge_method: slerp |
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base_model: zelk12/MT-Gen2-gemma-2-9B |
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dtype: bfloat16 |
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parameters: |
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t: 0.25 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zelk12__MT-Merge2-MU-gemma-2-MTg2MT1g2-9B) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |33.56| |
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|IFEval (0-Shot) |79.56| |
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|BBH (3-Shot) |43.84| |
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|MATH Lvl 5 (4-Shot)|13.82| |
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|GPQA (0-shot) |13.42| |
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|MuSR (0-shot) |13.23| |
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|MMLU-PRO (5-shot) |37.47| |
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