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--- |
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language: |
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- en |
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- zh |
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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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base_model: |
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- sthenno-com/miscii-14b-1225 |
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- sometimesanotion/Qwen2.5-14B-Vimarckoso-v3 |
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metrics: |
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- accuracy |
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new_version: sthenno/tempesthenno-14b-nuslerp-0111 |
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model-index: |
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- name: tempesthenno-nuslerp-001 |
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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: 79.26 |
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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=sthenno/tempesthenno-nuslerp-001 |
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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: 51.04 |
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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=sthenno/tempesthenno-nuslerp-001 |
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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: 31.72 |
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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=sthenno/tempesthenno-nuslerp-001 |
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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: 16.44 |
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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=sthenno/tempesthenno-nuslerp-001 |
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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: 13.88 |
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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=sthenno/tempesthenno-nuslerp-001 |
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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: 47.3 |
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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=sthenno/tempesthenno-nuslerp-001 |
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name: Open LLM Leaderboard |
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--- |
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# tempesthenno--nuslerp |
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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 NuSLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* /Users/sthenno/models/tempesthenno--converge-dtask |
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* /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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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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name: tempesthenno--nuslerp |
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merge_method: nuslerp |
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tokenizer: |
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source: /Users/sthenno/models/tempesthenno--converge-dtask |
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chat_template: "chatml" |
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dtype: float32 |
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out_dtype: bfloat16 |
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parameters: |
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int8_mask: false |
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normalize: true |
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rescale: false |
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slices: |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [0, 8] |
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parameters: |
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weight: 0.65 |
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nuslerp_flatten: false |
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nuslerp_row_wise: true |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [0, 8] |
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parameters: |
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weight: 0.35 |
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nuslerp_flatten: false |
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nuslerp_row_wise: true |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [8, 16] |
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parameters: |
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weight: 0.60 |
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nuslerp_flatten: false |
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nuslerp_row_wise: true |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [8, 16] |
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parameters: |
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weight: 0.40 |
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nuslerp_flatten: false |
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nuslerp_row_wise: true |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [16, 24] |
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parameters: |
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weight: 0.55 |
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nuslerp_flatten: false |
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nuslerp_row_wise: false |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [16, 24] |
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parameters: |
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weight: 0.45 |
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nuslerp_flatten: false |
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nuslerp_row_wise: false |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [24, 32] |
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parameters: |
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weight: 0.50 |
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nuslerp_flatten: false |
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nuslerp_row_wise: false |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [24, 32] |
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parameters: |
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weight: 0.50 |
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nuslerp_flatten: false |
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nuslerp_row_wise: false |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [32, 40] |
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parameters: |
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weight: 0.45 |
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nuslerp_flatten: true |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [32, 40] |
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parameters: |
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weight: 0.55 |
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nuslerp_flatten: true |
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- sources: |
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- model: /Users/sthenno/models/tempesthenno--converge-dtask |
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layer_range: [40, 48] |
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parameters: |
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weight: 0.40 |
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nuslerp_flatten: true |
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- model: /Users/sthenno/models/tempesthenno--converge-breadcrumbs |
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layer_range: [40, 48] |
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parameters: |
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weight: 0.60 |
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nuslerp_flatten: true |
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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/sthenno__tempesthenno-nuslerp-001-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |39.94| |
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|IFEval (0-Shot) |79.26| |
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|BBH (3-Shot) |51.04| |
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|MATH Lvl 5 (4-Shot)|31.72| |
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|GPQA (0-shot) |16.44| |
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|MuSR (0-shot) |13.88| |
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|MMLU-PRO (5-shot) |47.30| |
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