Model Overview

The aliosama8399/football-analysisL is a 0.8 billion parameter Qwen3 model, developed by aliosama8399. It was fine-tuned from unsloth/qwen3-0.6b-unsloth-bnb-4bit using the Unsloth library and Huggingface's TRL, which enabled a 2x faster training process.

Key Characteristics

• Architecture: Qwen3 base model.
• Parameter Count: 0.8 billion parameters.
• Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
• Context Length: Supports a context length of 32768 tokens.

Potential Use Cases

This model is likely specialized for tasks involving football data analysis, given its naming convention. Its efficient training and moderate parameter count suggest it could be suitable for:

• Analyzing football statistics.
• Generating insights from match data.
• Specific natural language processing tasks within the sports domain.