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* add dots1 * address comments * fix * add link to dots1 doc * format --------- Co-authored-by: taishan <rgtjf1@163.com>
41 lines
2.0 KiB
Markdown
41 lines
2.0 KiB
Markdown
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# dots.llm1
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## Overview
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The `dots.llm1` model was proposed in [dots.llm1 technical report](https://www.arxiv.org/pdf/2506.05767) by rednote-hilab team.
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The abstract from the report is the following:
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*Mixture of Experts (MoE) models have emerged as a promising paradigm for scaling language models efficiently by activating only a subset of parameters for each input token. In this report, we present dots.llm1, a large-scale MoE model that activates 14B parameters out of a total of 142B parameters, delivering performance on par with state-of-the-art models while reducing training and inference costs. Leveraging our meticulously crafted and efficient data processing pipeline, dots.llm1 achieves performance comparable to Qwen2.5-72B after pretraining on high-quality corpus and post-training to fully unlock its capabilities. Notably, no synthetic data is used during pretraining. To foster further research, we open-source intermediate training checkpoints spanning the entire training process, providing valuable insights into the learning dynamics of large language models.*
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## Dots1Config
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[[autodoc]] Dots1Config
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## Dots1Model
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[[autodoc]] Dots1Model
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- forward
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## Dots1ForCausalLM
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[[autodoc]] Dots1ForCausalLM
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- forward
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