The dataset covers FIFA/global football, continental competitions, domestic leagues, clubs, rules, tactics, positions, analytics, history, and date-aware safety behavior.

Included Evaluation Files

This repo includes two 20-prompt held-out comparison files:

base_model_eval.jsonl
finetuned_model_eval.jsonl

Each row includes:

prompt
expected_answer
model_answer
subject
category

These files are useful for assignment evidence because the 8B model is too large to load comfortably on a normal laptop CPU.

Inference Example

Use a GPU runtime for live inference.

python

import torch
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig

base_model_id = "unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit"
adapter_id = "shehrozrafaqat/football-llama31-8b-qlora"

bnb_config = BitsAndBytesConfig(load_in_4bit=True)

tokenizer = AutoTokenizer.from_pretrained(adapter_id)
base_model = AutoModelForCausalLM.from_pretrained(
    base_model_id,
    quantization_config=bnb_config,
    device_map="auto",
    torch_dtype=torch.float16,
)
model = PeftModel.from_pretrained(base_model, adapter_id)
model.eval()

messages = [
    {"role": "system", "content": "You are a careful football knowledge assistant."},
    {"role": "user", "content": "Explain goal difference in football."},
]

prompt = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
)
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

with torch.no_grad():
    output_ids = model.generate(
        **inputs,
        max_new_tokens=120,
        do_sample=False,
        pad_token_id=tokenizer.eos_token_id,
    )

answer_ids = output_ids[0][inputs["input_ids"].shape[-1]:]
print(tokenizer.decode(answer_ids, skip_special_tokens=True).strip())

Notes

The model is intended for assignment demonstration and controlled evaluation, not for live football news. Current fixtures, scores, standings, transfers, injuries, and manager status should be verified from official or trusted current sources.