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Patrick

pbarker

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pbarker

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reacted to Jaward's post with ❤️ 3 days ago

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

upvoted a collection 25 days ago

liked a model 29 days ago

bytedance-research/UI-TARS-7B-DPO

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Organizations

models 18

pbarker/Airbnb-CBv0.1-M-3epoch

Updated Jan 4 • 5

pbarker/ComputerBase-v0.1-M-3epoch

Updated Jan 3 • 5

pbarker/Airbnb-CB0.1-50tsk-3epoch

Updated Jan 3 • 5

pbarker/ComputerBase-0.1-Q-2epoch

Updated Jan 3 • 2

pbarker/ComputerBase-Q-01-2epoch

pbarker/Qwen2-VL-7B-cursor-grounding-50kex-2epoch

Updated Jan 2 • 4

pbarker/Qwen2-VL-7B-sk-airbnb-full-35tsk-810ex-15epoch-1img

Updated Dec 28, 2024

pbarker/Qwen2-VL-7B-sk-airbnb-full-15tsk-370ex-5epoch

Updated Dec 28, 2024 • 9

pbarker/Qwen2-VL-7B-sk-airbnb-full-10tsk-237ex-5epoch

Updated Dec 27, 2024 • 6

pbarker/Qwen2-VL-7B-sk-airbnb-full-118-5ep-5epoch

Updated Dec 27, 2024 • 10

datasets 1

pbarker/computer-thoughts

Updated Jan 10 • 4