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Model: prithivMLmods/Calcium-Opus-14B-Elite-Stock Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- prithivMLmods/Calcium-Opus-14B-Elite
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- prithivMLmods/Calcium-Opus-14B-Elite4
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- prithivMLmods/Calcium-Opus-14B-Elite3
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- prithivMLmods/Calcium-Opus-14B-Elite2
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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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model-index:
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- name: Calcium-Opus-14B-Elite-Stock
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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: wis-k/instruction-following-eval
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split: train
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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: 61.43
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name: averaged accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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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: SaylorTwift/bbh
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split: test
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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: 46.9
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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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: lighteval/MATH-Hard
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split: test
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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: 27.19
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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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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split: train
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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: 15.77
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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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: 20.06
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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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: 47.6
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock
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name: Open LLM Leaderboard
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---
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# **Calcium-Opus-14B-Elite-Stock**
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Calcium-Opus-14B-Elite is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. These models have proven effective in context understanding, reasoning, and mathematical problem-solving.It has been fine-tuned using a long chain-of-thought reasoning model and specialized datasets, with a focus on chain-of-thought (CoT) reasoning for problem-solving. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks.
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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 Method
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [prithivMLmods/Calcium-Opus-14B-Elite](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite) 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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* [prithivMLmods/Calcium-Opus-14B-Elite4](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite4)
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* [prithivMLmods/Calcium-Opus-14B-Elite3](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite3)
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* [prithivMLmods/Calcium-Opus-14B-Elite2](https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Elite2)
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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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models:
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- model: prithivMLmods/Calcium-Opus-14B-Elite
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- model: prithivMLmods/Calcium-Opus-14B-Elite2
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- model: prithivMLmods/Calcium-Opus-14B-Elite3
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- model: prithivMLmods/Calcium-Opus-14B-Elite4
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merge_method: model_stock
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base_model: prithivMLmods/Calcium-Opus-14B-Elite
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parameters:
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normalize: false
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int8_mask: true
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dtype: bfloat16
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tokenizer_source: "prithivMLmods/Calcium-Opus-14B-Elite"
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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/prithivMLmods__Calcium-Opus-14B-Elite-Stock-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FCalcium-Opus-14B-Elite-Stock&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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| Metric |Value (%)|
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|-------------------|--------:|
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|**Average** | 36.49|
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|IFEval (0-Shot) | 61.43|
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|BBH (3-Shot) | 46.90|
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|MATH Lvl 5 (4-Shot)| 27.19|
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|GPQA (0-shot) | 15.77|
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|MuSR (0-shot) | 20.06|
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|MMLU-PRO (5-shot) | 47.60|
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