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---
language: en
tags:
- llama
- llama-3.1
- llm
- gguf
- swot-analysis
- business-analysis
- question-generation
license: apache-2.0
datasets:
- custom_swot_dataset
model-index:
- name: Llama-3.1-8b-instruct-swot-questions
results: []
base_model:
- jsbaicenter/unsloth-llama3.1-8b-Instruct
pipeline_tag: text2text-generation
---
# Llama 3.1 8B Instruct - SWOT Question Generator
## Model Description
This model is a fine-tuned version of Llama 3.1 8B Instruct, specifically optimized for generating comprehensive questions for SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. The model has been trained to generate relevant, probing questions that help organizations conduct thorough SWOT analyses across various industries and business contexts.
## Intended Use
- Business consultants conducting SWOT analyses
- Strategic planning teams
- Business analysts
- Management consultants
- Students and educators in business studies
- Entrepreneurs developing business plans
## Training Details
### Base Model
- Original Model: Llama 3.1 8B Instruct
- Architecture: Transformer-based LLM
- Parameters: 8 billion
- Original Training: General instruction following and conversation
### Fine-tuning
- Training Focus: SWOT analysis question generation
- Training Data: Curated dataset of SWOT analyses and professional business analysis questions
- Training Approach: Instruction fine-tuning with emphasis on business context understanding
## Usage Examples
```python
# Example prompt format
prompt = """
Generate relevant questions for conducting a SWOT analysis of [company/industry].
Focus on [specific aspect] if applicable.
"""
# Example usage
prompt = """
Generate relevant questions for conducting a SWOT analysis of a tech startup
focusing on AI software development.
""" |