Hugging Face Overview
Overview
FPHam/L3-8B-Everything-COT is an 8 billion parameter model built upon the Llama 3 architecture, developed by FPHam. Its core innovation lies in its pervasive use of Chain of Thought (COT) for all processing, enabling an investigative and self-reflecting approach to problem-solving. Unlike conventional models that might confidently assert information, this model engages in internal dialogue, often questioning and examining topics from various angles, particularly when uncertainty is present.
Key Capabilities
- Investigative Self-Reflection: The model conducts an internal dialogue, casting doubt on uncertain topics and exploring them from multiple perspectives.
- Pervasive Chain of Thought: Employs COT for every task, leading to more deliberative and reasoned outputs.
- Llama 3 Instruct Template: Utilizes the Llama 3 instruct template, with the correct jinja chat_template provided in
tokenizer_config.json. - Flexible System Messaging: Was not trained with a system message, allowing users to steer its behavior effectively with custom system prompts.
Good For
- Use cases requiring nuanced reasoning and critical evaluation.
- Applications where the model needs to articulate its thought process or explore different possibilities.
- Scenarios benefiting from a model that can express uncertainty or investigate topics deeply rather than providing immediate, definitive answers.