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scottgeng00
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scottgeng00
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Output Modalities
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<|endoftext|>, packed to 4096 tokens with
document masking (no cross-document attention).OLMES (v0.4.13 port), base-model formats:
| task | metric | score |
|---|---|---|
| SciQ (RC, 5-shot) | acc | 0.798 |
| ARC-Easy (RC, 5-shot) | acc | 0.688 |
| MMLU (RC, 5-shot, macro over 57 subjects) | acc | 0.336 |
| GSM8K (8-shot CoT) | exact match | 0.020 |
| TriviaQA (5-shot) | F1 | 0.254 |
| GSM8K | gold-answer bits/byte | 0.666 |
| MBPP (3-shot) | gold-solution bits/byte | 0.912 |
Held-out NLL per token on Dolmino sources (1000 docs each): dclm 2.610, math 1.632, flan 3.517, wiki 2.645, pes2o 2.763, stackexchange 2.773.
python
from transformers import AutoModelForCausalLM, AutoTokenizertok = AutoTokenizer.from_pretrained("scottgeng00/qwen3-0.6b-dclm-20b")model = AutoModelForCausalLM.from_pretrained("scottgeng00/qwen3-0.6b-dclm-20b", torch_dtype="bfloat16")