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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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- CultriX/SeQwence-14Bv2 |
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- CultriX/Qwestion-14B |
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- CultriX/SeQwence-14Bv1 |
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model-index: |
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- name: SeQwence-14Bv3 |
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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: 57.19 |
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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=CultriX/SeQwence-14Bv3 |
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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: 46.39 |
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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=CultriX/SeQwence-14Bv3 |
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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: 22.13 |
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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=CultriX/SeQwence-14Bv3 |
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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: 15.32 |
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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=CultriX/SeQwence-14Bv3 |
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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: 17.27 |
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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=CultriX/SeQwence-14Bv3 |
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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: 48.17 |
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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=CultriX/SeQwence-14Bv3 |
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name: Open LLM Leaderboard |
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--- |
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# final_model |
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [CultriX/SeQwence-14Bv2](https://huggingface.co/CultriX/SeQwence-14Bv2) |
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* [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B) |
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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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base_model: CultriX/SeQwence-14Bv1 |
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dtype: bfloat16 |
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merge_method: dare_ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 1.0 |
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slices: |
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- sources: |
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- layer_range: [0, 8] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 1.0 |
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weight: 0.34927958017496047 |
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- layer_range: [0, 8] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 1.0 |
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weight: 0.4785529567298472 |
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- layer_range: [0, 8] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 0.9095619834430182 |
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weight: 0.08292400341270245 |
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- sources: |
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- layer_range: [8, 16] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 1.0 |
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weight: 0.31847489577754107 |
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- layer_range: [8, 16] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 1.0 |
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weight: 0.34008726542768253 |
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- layer_range: [8, 16] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 1.0 |
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weight: -0.010187285487908426 |
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- sources: |
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- layer_range: [16, 24] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 1.0 |
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weight: 0.1562216100470764 |
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- layer_range: [16, 24] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 1.0 |
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weight: 0.31090250951964327 |
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- layer_range: [16, 24] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 0.8226944254037076 |
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weight: 0.4055505847346826 |
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- sources: |
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- layer_range: [24, 32] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 1.0 |
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weight: 0.1478643123383346 |
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- layer_range: [24, 32] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 0.8233564236912981 |
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weight: 0.34508971280776113 |
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- layer_range: [24, 32] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 1.0 |
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weight: 0.47963393901209633 |
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- sources: |
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- layer_range: [32, 40] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 0.9078052860602195 |
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weight: 0.5051482718423455 |
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- layer_range: [32, 40] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 1.0 |
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weight: 0.21938011111527006 |
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- layer_range: [32, 40] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 0.9287247232625168 |
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weight: 0.12414619742696054 |
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- sources: |
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- layer_range: [40, 48] |
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model: CultriX/SeQwence-14Bv1 |
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parameters: |
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density: 1.0 |
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weight: 0.1932759286778445 |
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- layer_range: [40, 48] |
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model: CultriX/Qwestion-14B |
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parameters: |
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density: 0.9846832888894079 |
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weight: 0.572903756192807 |
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- layer_range: [40, 48] |
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model: CultriX/SeQwence-14Bv2 |
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parameters: |
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density: 1.0 |
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weight: 0.33759567132306584 |
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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_CultriX__SeQwence-14Bv3) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |34.41| |
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|IFEval (0-Shot) |57.19| |
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|BBH (3-Shot) |46.39| |
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|MATH Lvl 5 (4-Shot)|22.13| |
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|GPQA (0-shot) |15.32| |
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|MuSR (0-shot) |17.27| |
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|MMLU-PRO (5-shot) |48.17| |
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