2 projects for "layer" with 2 filters applied:

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  • 1
    MiniMax-01

    MiniMax-01

    Large-language-model & vision-language-model based on Linear Attention

    ...It has 456 billion total parameters with 45.9 billion activated per token and is trained with advanced parallel strategies such as LASP+, varlen ring attention, and Expert Tensor Parallelism, enabling a training context of 1 million tokens and up to 4 million tokens at inference. MiniMax-VL-01 extends this core by adding a 303M-parameter Vision Transformer and a two-layer MLP projector in a ViT–MLP–LLM framework, allowing the model to process images at dynamic resolutions up to 2016×2016.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Grok-1

    Grok-1

    Open-source, high-performance Mixture-of-Experts large language model

    ...The accompanying GitHub repository provides JAX example code for loading and running the model. Due to its substantial size, utilizing Grok-1 requires a machine with significant GPU memory. The repository's MoE layer implementation prioritizes correctness over efficiency, avoiding the need for custom kernels. This is a full repo snapshot ZIP file of the Grok-1 code.
    Downloads: 28 This Week
    Last Update:
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