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--- |
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license: cc-by-nc-4.0 |
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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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- saishf/Ortho-SOVL-8B-L3 |
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- saishf/SOVLish-Maid-L3-8B |
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- saishf/Merge-Mayhem-L3-V2.1 |
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- saishf/Merge-Mayhem-L3-V2 |
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model-index: |
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- name: Llama4Some-SOVL-4x8B-L3-V1 |
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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: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 61.95 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 79.38 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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 (5-Shot) |
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type: cais/mmlu |
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config: all |
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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: 65.49 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 51.48 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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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: 75.69 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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: GSM8k (5-shot) |
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type: gsm8k |
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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: 66.57 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Llama4Some-SOVL-4x8B-L3-V1 |
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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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This model is a merge of all of my SOVL models, in the hopes to create the most unhinged and wild model possible. But in Mixtral fashion! |
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It may be insane, it may be incoherent. I can't load it :3 |
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### Merge Method |
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This model was merged using the [Mixture Of Experts](https://arxiv.org/abs/2401.04088) method. |
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### Models Merged |
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The following models were included in the merge: |
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* [saishf/Ortho-SOVL-8B-L3](https://huggingface.co/saishf/Ortho-SOVL-8B-L3) |
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* [saishf/SOVLish-Maid-L3-8B](https://huggingface.co/saishf/SOVLish-Maid-L3-8B) |
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* [saishf/Merge-Mayhem-L3-V2.1](https://huggingface.co/saishf/Merge-Mayhem-L3-V2.1) |
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* [saishf/Merge-Mayhem-L3-V2](https://huggingface.co/saishf/Merge-Mayhem-L3-V2) |
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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: saishf/Ortho-SOVL-8B-L3 |
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gate_mode: random |
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dtype: bfloat16 |
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experts: |
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- source_model: saishf/Ortho-SOVL-8B-L3 |
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- source_model: saishf/SOVLish-Maid-L3-8B |
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- source_model: saishf/Merge-Mayhem-L3-V2.1 |
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- source_model: saishf/Merge-Mayhem-L3-V2 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_saishf__Llama4Some-SOVL-4x8B-L3-V1) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |66.76| |
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|AI2 Reasoning Challenge (25-Shot)|61.95| |
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|HellaSwag (10-Shot) |79.38| |
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|MMLU (5-Shot) |65.49| |
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|TruthfulQA (0-shot) |51.48| |
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|Winogrande (5-shot) |75.69| |
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|GSM8k (5-shot) |66.57| |
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