prithivMLmods/Calcium-Opus-14B-Elite-Stock
The prithivMLmods/Calcium-Opus-14B-Elite-Stock is a 14.8 billion parameter language model based on the Qwen 2.5 architecture, fine-tuned for enhanced reasoning capabilities. It leverages a long chain-of-thought reasoning model and specialized datasets to excel in complex problem-solving. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step instruction following, making it suitable for advanced analytical applications.
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Calcium-Opus-14B-Elite-Stock Overview
Calcium-Opus-14B-Elite-Stock is a 14.8 billion parameter language model built upon the Qwen 2.5 architecture. It is specifically designed to improve reasoning capabilities, particularly through the use of chain-of-thought (CoT) reasoning. The model was fine-tuned with a focus on problem-solving, utilizing specialized datasets and a long chain-of-thought reasoning approach.
Key Capabilities
- Enhanced Reasoning: Optimized for logical reasoning, detailed explanations, and multi-step problem-solving.
- Instruction Following: Excels at understanding and executing complex instructions.
- Text Generation: Capable of generating coherent and contextually relevant text.
- Context Understanding: Demonstrates effectiveness in comprehending intricate contexts.
Model Architecture and Training
This model is a merge of several pre-trained language models, including prithivMLmods/Calcium-Opus-14B-Elite, prithivMLmods/Calcium-Opus-14B-Elite2, prithivMLmods/Calcium-Opus-14B-Elite3, and prithivMLmods/Calcium-Opus-14B-Elite4. The merge was performed using the Model Stock method via mergekit, with prithivMLmods/Calcium-Opus-14B-Elite serving as the base model.
Evaluation Highlights
Evaluations on the Open LLM Leaderboard show an Average score of 36.49%. Notable scores include:
- IFEval (0-Shot): 61.43%
- BBH (3-Shot): 46.90%
- MMLU-PRO (5-shot): 47.60%
These metrics indicate its performance across various reasoning and instruction-following benchmarks.