Instructions to use kishan51/llm-zero-lite-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kishan51/llm-zero-lite-experiments with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| import random | |
| from datasets import Dataset | |
| from src.rewards import safe_eval_expression | |
| def random_expression(numbers, rng): | |
| parts = [str(number) for number in numbers] | |
| while len(parts) > 1: | |
| i, j = sorted(rng.sample(range(len(parts)), 2), reverse=True) | |
| left, right = parts.pop(i), parts.pop(j) | |
| parts.append(f"({left} {rng.choice(['+', '-', '*'])} {right})") | |
| return parts[0] | |
| def build_countdown_dataset(size, seed, num_numbers=4, disable_thinking=False): | |
| rng = random.Random(seed) | |
| rows, seen = [], set() | |
| while len(rows) < size: | |
| numbers = [rng.randint(1, 10) for _ in range(num_numbers)] | |
| solution = random_expression(numbers, rng) | |
| target, _ = safe_eval_expression(solution) | |
| if not target.is_integer() or abs(target) > 500: | |
| continue | |
| key = (tuple(numbers), int(target)) | |
| if key in seen: | |
| continue | |
| seen.add(key) | |
| prompt = ( | |
| f"Use each number exactly once to make {int(target)}. Numbers: {numbers}. " | |
| "Allowed operations: +, -, *, /. Return only the computed arithmetic expression " | |
| "wrapped between the XML tags <answer> and </answer>. Do not output placeholder " | |
| "words such as EXPRESSION." | |
| ) | |
| rows.append({ | |
| "prompt": [ | |
| { | |
| "role": "system", | |
| "content": ( | |
| "Solve the arithmetic task. Follow the requested answer format exactly." | |
| + (" /no_think" if disable_thinking else "") | |
| ), | |
| }, | |
| {"role": "user", "content": prompt}, | |
| ], | |
| "numbers": numbers, | |
| "target": int(target), | |
| "solution": solution, | |
| }) | |
| return Dataset.from_list(rows) | |