Calcium-Opus-14B-Elite-Stock

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.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Method

This model was merged using the Model Stock merge method using prithivMLmods/Calcium-Opus-14B-Elite as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: prithivMLmods/Calcium-Opus-14B-Elite
  - model: prithivMLmods/Calcium-Opus-14B-Elite2
  - model: prithivMLmods/Calcium-Opus-14B-Elite3
  - model: prithivMLmods/Calcium-Opus-14B-Elite4
merge_method: model_stock
base_model: prithivMLmods/Calcium-Opus-14B-Elite
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
tokenizer_source: "prithivMLmods/Calcium-Opus-14B-Elite"

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	36.49
IFEval (0-Shot)	61.43
BBH (3-Shot)	46.90
MATH Lvl 5 (4-Shot)	27.19
GPQA (0-shot)	15.77
MuSR (0-shot)	20.06
MMLU-PRO (5-shot)	47.60

prithivMLmods
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Calcium-Opus-14B-Elite-Stock