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--- |
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language: |
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- en |
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license: apache-2.0 |
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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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- not-for-all-audiences |
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base_model: |
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- bamec66557/mergekit-slerp-uhnpbqg |
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- bamec66557/mergekit-slerp-tsgkafq |
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model-index: |
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- name: MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 43.16 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 34.87 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 13.14 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 9.4 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 12.77 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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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: 29.43 |
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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=bamec66557/MISCHIEVOUS-12B-Mix_III_ex_V |
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name: Open LLM Leaderboard |
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--- |
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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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* [bamec66557/mergekit-slerp-uhnpbqg](https://huggingface.co/bamec66557/mergekit-slerp-uhnpbqg) |
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* [bamec66557/mergekit-slerp-tsgkafq](https://huggingface.co/bamec66557/mergekit-slerp-tsgkafq) |
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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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# Merging MISCHIEVOUS-12B-Mix Models with Sliced SLERP |
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base_model: bamec66557/mergekit-slerp-tsgkafq |
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dtype: bfloat16 |
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merge_method: slerp |
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tokenizer_source: union |
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# Slices Configuration (Layer-Specific Merging) |
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slices: |
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- name: initial_layers |
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sources: |
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- model: bamec66557/mergekit-slerp-uhnpbqg |
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layer_range: [0, 10] |
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- model: bamec66557/mergekit-slerp-tsgkafq |
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layer_range: [0, 10] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.8, 0.85, 0.9, 0.95, 1.0] |
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- name: mlp |
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value: [0.9, 0.95, 1.0, 1.05, 1.1] |
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- name: layer_norm |
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value: [0.6, 0.65, 0.7, 0.75, 0.8] |
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- name: embed_tokens |
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value: [1.0] |
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- name: middle_layers |
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sources: |
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- model: bamec66557/mergekit-slerp-uhnpbqg |
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layer_range: [10, 20] |
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- model: bamec66557/mergekit-slerp-tsgkafq |
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layer_range: [10, 20] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.7, 0.75, 0.8, 0.85, 0.9] |
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- name: mlp |
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value: [1.0, 0.95, 0.9, 0.85, 0.8] |
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- name: layer_norm |
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value: [0.5, 0.55, 0.6, 0.65, 0.7] |
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- name: embed_tokens |
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value: [1.0] |
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- name: upper_middle_layers |
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sources: |
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- model: bamec66557/mergekit-slerp-uhnpbqg |
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layer_range: [20, 30] |
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- model: bamec66557/mergekit-slerp-tsgkafq |
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layer_range: [20, 30] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.6, 0.65, 0.7, 0.75, 0.8] |
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- name: mlp |
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value: [0.8, 0.75, 0.7, 0.65, 0.6] |
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- name: layer_norm |
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value: [0.4, 0.45, 0.5, 0.55, 0.6] |
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- name: embed_tokens |
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value: [1.0] |
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- name: final_layers |
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sources: |
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- model: bamec66557/mergekit-slerp-uhnpbqg |
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layer_range: [30, 40] |
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- model: bamec66557/mergekit-slerp-tsgkafq |
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layer_range: [30, 40] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.9, 1.0, 1.1, 1.2, 1.3] |
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- name: mlp |
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value: [0.7, 0.65, 0.6, 0.55, 0.5] |
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- name: layer_norm |
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value: [0.7, 0.75, 0.8, 0.85, 0.9] |
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- name: embed_tokens |
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value: [1.0] |
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# Regularization (Prevent Overfitting During Merging) |
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regularization: |
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methods: |
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- name: weight_clipping |
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clip_range: [-0.2, 0.2] |
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- name: random_noise |
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scale: 0.015 |
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- name: l2_norm |
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scale: 0.01 |
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# Postprocessing (Enhance Merged Model Quality) |
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postprocessing: |
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operations: |
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- name: random_noise |
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scale: 0.0025 |
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- name: non_linear_scaling |
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parameters: |
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function: tanh |
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- name: sharpening |
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intensity: 0.3 |
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- name: gaussian_smoothing |
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sigma: 1.5 |
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- name: smoothing |
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parameters: |
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adaptive: true |
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range: [0.8, 1.2] |
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kernel_size: 5 |
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- name: normalize |
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- name: dynamic_scaling |
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scale_range: [0.75, 1.25] |
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# Optional: Ties Merging (Advanced Technique) |
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ties: |
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enabled: false # Set to true if ties merging is required |
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method: greedy # Options: greedy, optimal, random |
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layers: [0, 10, 20, 30] # Example layers for ties merging |
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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/bamec66557__MISCHIEVOUS-12B-Mix_III_ex_V-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |23.80| |
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|IFEval (0-Shot) |43.16| |
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|BBH (3-Shot) |34.87| |
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|MATH Lvl 5 (4-Shot)|13.14| |
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|GPQA (0-shot) | 9.40| |
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|MuSR (0-shot) |12.77| |
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|MMLU-PRO (5-shot) |29.43| |
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