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
Upload eval_deepscaler/deepscaler_eval_ckpt50/summary.json with huggingface_hub
Browse files
eval_deepscaler/deepscaler_eval_ckpt50/summary.json
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{
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"model": "Qwen/Qwen3-1.7B",
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"checkpoint": "/workspace/outputs/hint_follow_lr5e5_250steps/checkpoint-50",
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"num_problems": 100,
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"num_generations_per_problem": 1,
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"total_completions": 100,
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"overall_accuracy": 0.89,
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"mean_tokens": 2789.85,
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"median_tokens": 2013,
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"min_tokens": 590,
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"max_tokens": 8192,
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"std_tokens": 2061.3368253393232,
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"frac_has_think": 0.93,
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"frac_has_boxed": 0.93,
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"difficulty_range": [
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99.0,
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100.0
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],
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"generation_params": {
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"temperature": 0.6,
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"top_p": 0.95,
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"max_new_tokens": 8192
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},
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"backend": "vllm",
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"timestamp": "2026-02-23T18:37:31.823210"
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}
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