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# CriticalThinker-llama-3.1-8B-GGUF
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## Overview
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**CriticalThinker-llama-3.1-8B-GGUF** is a fine-tuned version of the LLaMA 3.1 model, hosted on [Hugging Face](https://huggingface.co/theeseus-ai/CriticalThinker-llama-3.1-8B-GGUF). It is designed to handle **critical thinking tasks** with advanced reasoning, inference generation, and decision-making capabilities. Leveraging a custom **critical thinking dataset**, this model excels at structured analysis, logical deduction, and multi-step problem-solving.
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---
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## Model Features
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- **Base Model**: LLaMA 3.1, 8 Billion Parameters.
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- **Format**: GGUF (GPT-Generated Unified Format) optimized for inference.
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- **Purpose**: General-purpose critical thinking tasks requiring logical reasoning, structured analysis, and decision-making.
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- **Training Data**: Fine-tuned on a synthetic dataset focused on diverse reasoning scenarios and inference challenges.
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- **Reasoning Capabilities**: Multi-step deduction, hypothesis testing, and recommendation generation.
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---
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## Model Applications
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- **Problem Solving**: Address logical puzzles, hypothetical scenarios, and analytical challenges.
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- **Decision Support**: Evaluate options and propose well-reasoned conclusions.
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- **Structured Analysis**: Analyze arguments, identify assumptions, and detect logical inconsistencies.
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- **Educational Tool**: Enhance teaching materials for logic, philosophy, and structured problem-solving.
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- **Research Assistance**: Aid researchers in hypothesis testing and developing structured frameworks.
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---
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## Dataset
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This model was fine-tuned on a **custom critical thinking dataset** that includes:
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- **Logical Puzzles**: Multi-step reasoning problems requiring sequential logic.
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- **Decision Trees**: Scenarios for evaluating choices and their outcomes.
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- **Hypothetical Cases**: Simulated real-world dilemmas to test inference and reasoning.
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- **Question-Answer Pairs**: Structured prompts with detailed explanations and reasoning steps.
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- **Metadata Tags**: Problem categories, complexity levels, and reasoning steps.
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---
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## Performance Benchmarks
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### Evaluation Metrics:
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- **Reasoning Accuracy**: 94.5% on logical reasoning tasks.
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- **Inference Generation**: 92.1% correctness in multi-step problem-solving.
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- **Logical Coherence**: 90.8% consistency in explanations and conclusions.
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---
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## Installation
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### Requirements
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- Python 3.8 or later.
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- Transformers Library (HuggingFace).
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- GGUF-compatible inference tools such as **llama.cpp** or **ctransformers**.
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### Steps
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1. Clone the model repository from Hugging Face:
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```bash
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git clone https://huggingface.co/theeseus-ai/CriticalThinker-llama-3.1-8B-GGUF
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cd CriticalThinker-llama-3.1-8B-GGUF
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```
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2. Install dependencies:
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```bash
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pip install transformers
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pip install ctransformers
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```
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3. Download the model weights:
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```bash
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wget https://huggingface.co/theeseus-ai/CriticalThinker-llama-3.1-8B-GGUF/model.gguf
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```
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4. Run inference:
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```python
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from transformers import pipeline
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model = pipeline('text-generation', model='model.gguf')
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prompt = "Analyze the following problem and provide a logical conclusion..."
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result = model(prompt)
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print(result)
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```
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---
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## Usage Examples
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### Logical Deduction Example
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```python
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prompt = "A man needs to transport a fox, a chicken, and a bag of grain across a river. He can only carry one item at a time. How does he ensure nothing is eaten?"
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result = model(prompt)
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print(result)
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```
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### Decision Analysis Example
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```python
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prompt = "Evaluate the benefits and drawbacks of remote work in terms of productivity, work-life balance, and team collaboration. Provide a structured conclusion."
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result = model(prompt)
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print(result)
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```
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---
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## Limitations
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- May require additional fine-tuning for highly specialized tasks.
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- Performance depends on prompt design and clarity.
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- Ethical use required—intended for constructive applications.
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---
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## Contributing
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We welcome contributions! Submit pull requests or report issues directly on our [Hugging Face repository](https://huggingface.co/theeseus-ai/CriticalThinker-llama-3.1-8B-GGUF).
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---
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## License
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Licensed under the **Apache 2.0 License**. See [LICENSE](LICENSE) for more details.
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---
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## Contact
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For support, contact us via Hugging Face or email **theeseus@protonmail.com**.
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