filter-with-espresso/Qwen2.5-14B-Instruct-moltbook-finetune-v4
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lgalke
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williambrach
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lgalke
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lgalke
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Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
Paper
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2502.11895
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3
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
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2302.12239
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1
Dynaword: From One-shot to Continuously Developed Datasets
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2508.02271
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15
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
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2311.09707
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Published