We've added a new template feature for chat models. Nougat uses the same architecture as Donut, meaning an image Transformer encoder and an autoregressive text Transformer decoder to translate scientific PDFs to markdown, enabling easier access to them. ViTMatte leverages plain Vision Transformers for the task of image matting, which is the process of accurately estimating the foreground object in images and videos. BROS encode relative spatial information instead of using absolute spatial information. It is an encoder-only Transformer model that takes a sequence of tokens and their bounding boxes as inputs and outputs a sequence of hidden states. Add support for persimmon by in #26042īROS stands for BERT Relying On Spatiality. Some of the key attributes of Persimmon-8B are long context size (16K), performance, and capabilities for multimodal extensions. Persimmon-8B is a fully permissively licensed model with approximately 8 billion parameters, released under the Apache license. The authors introduced Persimmon-8B, a decoder model based on the classic transformers architecture, with query and key normalization. Byte-fallback BPE tokenizer - ensures that characters are never mapped to out-of-vocabulary tokens. GQA (Grouped Query Attention) - allowing faster inference and lower cache size.Sliding Window Attention - Trained with 8k context length and fixed cache size, with a theoretical attention span of 128K tokens.Mistral-7B-v0.1 is a decoder-based LM with the following architectural choices:
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