👏微软亚洲研究院在NeurIPS ENSLP 2024获最佳论文奖!在NeurIPS 2024 ENSLP workshop这个专注于模型效率提升的研讨会上,微软亚洲研究院名为《Retrieval Attention: Accelerating Long-Context LLM Inference via Vector Retrieval》的论文荣获最佳论文奖(Best Paper Award)。该研究创造性地提出使用向量索引来动态检索最关键...
DeepSpeed DeepSpeed facilitates efficient pre-training and fine-tuning of large language models across multi-GPU and multi-node settings, often integrated within Axolotl for enhanced performance. Further Exploration ReferenceDescriptionLink The Novice's LLM Training Guide by Alpin Provides ...
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PyTorch (🥇55 · ⭐ 87K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 GitHub (👨💻 5.4K · 🔀 23K · 📥 76K · 📦 650K · 📋 50K - 31% open · ⏱️ 20.02.2025): git clone https://github.com/pytorch/pytorch PyPi (📥 40...
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1 NVIDIA T4 GPU, 16GB Memory Where’s the code? Evaluation notebooks for each of the above embedding models are available: voyage-lite-02-instruct text-embedding-3-large UAE-Large-V1 To run a notebook, click on the Open in Colab shield at the top of the notebook. The notebook will ...
The reason for this is that NeMo 2.0 uses Python’s multiprocessing module in the backend when running a multi-GPU job. The multiprocessing module will create new Python processes that will import the current module (your script). If you did not add __name__== "__main__", then your ...