aliosama8399/football-analysisM
TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kPublished:Mar 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The aliosama8399/football-analysisM is a 0.8 billion parameter Qwen3 causal language model, developed by aliosama8399. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is specialized for football analysis, leveraging its fine-tuning to process and interpret football-related data and contexts.
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Overview
The aliosama8399/football-analysisM is a 0.8 billion parameter Qwen3 model, developed by aliosama8399. It was fine-tuned specifically for football analysis tasks. The training process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning compared to standard methods.
Key Capabilities
- Specialized Domain: Fine-tuned for understanding and generating content related to football analysis.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Qwen3 Architecture: Based on the Qwen3 model family, providing a robust language understanding foundation.
Good For
- Applications requiring detailed analysis of football data.
- Generating insights or summaries from football matches and statistics.
- Developing tools for sports analytics with a focus on football.