| | --- |
| | license: apache-2.0 |
| | tags: |
| | - merge |
| | - mergekit |
| | - lazymergekit |
| | - Eric111/caTUNABeagle |
| | - Eric111/AlphaMayo |
| | model-index: |
| | - name: CatunaMayo |
| | results: |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: AI2 Reasoning Challenge (25-Shot) |
| | type: ai2_arc |
| | config: ARC-Challenge |
| | split: test |
| | args: |
| | num_few_shot: 25 |
| | metrics: |
| | - type: acc_norm |
| | value: 71.76 |
| | name: normalized accuracy |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: HellaSwag (10-Shot) |
| | type: hellaswag |
| | split: validation |
| | args: |
| | num_few_shot: 10 |
| | metrics: |
| | - type: acc_norm |
| | value: 87.9 |
| | name: normalized accuracy |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: MMLU (5-Shot) |
| | type: cais/mmlu |
| | config: all |
| | split: test |
| | args: |
| | num_few_shot: 5 |
| | metrics: |
| | - type: acc |
| | value: 65.21 |
| | name: accuracy |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: TruthfulQA (0-shot) |
| | type: truthful_qa |
| | config: multiple_choice |
| | split: validation |
| | args: |
| | num_few_shot: 0 |
| | metrics: |
| | - type: mc2 |
| | value: 69.96 |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: Winogrande (5-shot) |
| | type: winogrande |
| | config: winogrande_xl |
| | split: validation |
| | args: |
| | num_few_shot: 5 |
| | metrics: |
| | - type: acc |
| | value: 82.56 |
| | name: accuracy |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | - task: |
| | type: text-generation |
| | name: Text Generation |
| | dataset: |
| | name: GSM8k (5-shot) |
| | type: gsm8k |
| | config: main |
| | split: test |
| | args: |
| | num_few_shot: 5 |
| | metrics: |
| | - type: acc |
| | value: 72.33 |
| | name: accuracy |
| | source: |
| | url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eric111/CatunaMayo |
| | name: Open LLM Leaderboard |
| | --- |
| | |
| | Acknowledgements: https://github.com/mlabonne/llm-course |
| |
|
| | # CatunaMayo |
| |
|
| | CatunaMayo is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): |
| | * [Eric111/caTUNABeagle](https://huggingface.co/Eric111/caTUNABeagle) |
| | * [Eric111/AlphaMayo](https://huggingface.co/Eric111/AlphaMayo) |
| |
|
| | ## 🧩 Configuration |
| |
|
| | ```yaml |
| | slices: |
| | - sources: |
| | - model: Eric111/caTUNABeagle |
| | layer_range: [0, 32] |
| | - model: Eric111/AlphaMayo |
| | layer_range: [0, 32] |
| | merge_method: slerp |
| | base_model: Eric111/caTUNABeagle |
| | parameters: |
| | t: |
| | - filter: self_attn |
| | value: [0, 0.5, 0.3, 0.7, 1] |
| | - filter: mlp |
| | value: [1, 0.5, 0.7, 0.3, 0] |
| | - value: 0.5 |
| | dtype: bfloat16 |
| | |
| | ``` |
| | # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
| | Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_eric111__CatunaMayo) |
| |
|
| | | Metric |Value| |
| | |---------------------------------|----:| |
| | |Avg. |74.95| |
| | |AI2 Reasoning Challenge (25-Shot)|71.76| |
| | |HellaSwag (10-Shot) |87.90| |
| | |MMLU (5-Shot) |65.21| |
| | |TruthfulQA (0-shot) |69.96| |
| | |Winogrande (5-shot) |82.56| |
| | |GSM8k (5-shot) |72.33| |
| |
|
| |
|