FPHam/L3-8B-Everything-COT
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Jul 2, 2024Architecture:Transformer0.0K Warm

FPHam/L3-8B-Everything-COT is an 8 billion parameter language model based on the Llama 3 architecture, developed by FPHam. This model is uniquely designed for investigative, self-reflecting reasoning, utilizing Chain of Thought (COT) for all tasks. It excels at internal dialogue and critically evaluating uncertain topics from multiple perspectives, making it suitable for applications requiring nuanced and deliberative responses.

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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.
Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

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