Primal-Opus-14B-Optimus-v2 Overview
Primal-Opus-14B-Optimus-v2 is a 14.8 billion parameter model built on the Qwen 2.5 architecture, developed by prithivMLmods. It has been fine-tuned using a synthetic dataset based on DeepSeek R1, specifically to improve its chain-of-thought (CoT) reasoning and logical problem-solving capabilities. This model demonstrates significant advancements in understanding complex contexts, processing structured data, and handling long-context inputs.
Key Capabilities
- Enhanced Reasoning and Logic: Features improved multi-step logical deduction, mathematical reasoning, and problem-solving accuracy.
- Fine-Tuned Instruction Following: Optimized for precise responses, structured outputs (e.g., JSON), and generating long texts (up to 8K tokens).
- Long-Context Support: Capable of processing up to 128K tokens and generating outputs of up to 8K tokens.
- Multilingual Proficiency: Supports over 29 languages, including major global languages like Chinese, English, French, Spanish, and German.
- Adaptability: Offers improved role-playing capabilities and resilience to diverse system prompts.
Good For
- Advanced Logical Reasoning: Ideal for tasks requiring logical deduction and multi-step problem-solving.
- Mathematical & Scientific Problem-Solving: Enhanced for calculations, theorem proving, and scientific queries.
- Code Generation & Debugging: Generates and optimizes code across various programming languages.
- Structured Data Analysis: Processes tables, JSON, and other structured outputs effectively.
- Extended Content Generation: Suitable for detailed document writing, research reports, and instructional guides.