The model is based on Llama 3.2-3B-Instruct and fine-tuned on historical football match data from five major European leagues (England, Spain, Germany, Italy, and France) spanning the 1993–94 to 2022–23 seasons. It provides team-specific match results for a given season upon request. — Developed by: mrp1mple — Finetuned from model [optional]: meta-llama/Llama-3.2-3B-Instruct Obtaining historical match results for a particular football team in a specified season. Summarizing a team’s performance based on the historical data available in the dataset. As a knowledge component in football analytics dashboards. Potentially extended for predictive modeling or advanced statistics about team performances. Predicting real-time match outcomes or betting odds, as the data is purely historical and the model was not trained for predictive tasks on future games. General text generation that is unrelated to football or outside the dataset’s scope. The model’s knowledge is limited to matches within the top 5 European leagues and up to the 2022–23 season. It may not accurately handle data or events outside this range. Any biases present in the original dataset (e.g., incomplete or missing matches…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: mrp1mple
Теги: llama, conversational, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 11
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
