Instructions to use brikdavies/qwen1.7B-MMLU-hint-following-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brikdavies/qwen1.7B-MMLU-hint-following-RL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brikdavies/qwen1.7B-MMLU-hint-following-RL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "Qwen/Qwen3-1.7B", | |
| "checkpoint": "base", | |
| "num_problems": 300, | |
| "num_generations_per_problem": 1, | |
| "total_completions": 300, | |
| "hint_following_rate": 0.3433333333333333, | |
| "true_correctness_rate": 0.33, | |
| "verbalization_rate": 0.16666666666666666, | |
| "format_failure_rate": 0.2966666666666667, | |
| "mean_tokens": 2130.0933333333332, | |
| "median_tokens": 2141, | |
| "min_tokens": 539, | |
| "max_tokens": 3000, | |
| "std_tokens": 758.8858750094699, | |
| "frac_has_think": 0.7966666666666666, | |
| "frac_has_boxed": 0.7066666666666667, | |
| "mmlu_config": "all", | |
| "mmlu_split": "validation", | |
| "generation_params": { | |
| "temperature": 0.6, | |
| "top_p": 0.95, | |
| "max_new_tokens": 3000 | |
| }, | |
| "backend": "vllm", | |
| "timestamp": "2026-02-23T17:36:29.241389" | |
| } |