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
File size: 751 Bytes
63f1534 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"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"
} |