model-architectures/GRAPE
[ICLR 2026] GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)
Official Project Page for HLA: Higher-order Linear Attention (https://arxiv.org/abs/2510.27258)
$ git clone https://github.com/yifanzhang-pro/HLA.git[ICLR 2026] GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)
[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (https://arxiv.org/abs/2501.06425)
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This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
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Implement a reasoning LLM in PyTorch from scratch, step by step
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Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
Data from GitHub · snapshot Nov 13, 2026