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7.4
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Max Glushko
Pelmeshek
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nanoBLT: Simplified lightweight implementation of a character-level Byte Latent Transformer model (under 500 lines of code). The model is 2x4x2 (n_layers_encoder, n_layers_latent, n_layers_decoder) layer deep trained on ~1M bytes of tiny Shakespeare with a patch size of 4. Code: https://github.com/Jaykef/ai-algorithms/blob/main/byte_latent_transformer.ipynb
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meta-llama/Llama-3.2-1B-Instruct
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Pelmeshek/sd-class-butterflies-64
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Pelmeshek/sd-class-butterflies-64
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Jul 21, 2024
Pelmeshek/sd-class-butterflies-32
Unconditional Image Generation
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Jul 21, 2024
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Pelmeshek/enbeds_for_int20h
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Mar 2, 2024
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Pelmeshek/twitter_liberal
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